Windows binaries lack SQLite support (GH #253)

Windows users installing via install.ps1 get "sql: unknown driver sqlite" error. Root cause: GoReleaser was building with CGO_ENABLED=0, which excludes SQLite driver.

Fixed by:
1. Enabling CGO in .goreleaser.yml
2. Installing MinGW cross-compiler in release workflow
3. Splitting builds per platform to set correct CC for Windows

Needs new release to fix for users.


Add topological sort utility functions

Create internal/importer/sort.go with utilities for depth-based sorting of issues. Functions: GetHierarchyDepth(id), SortByDepth(issues), GroupByDepth(issues). Include stable sorting for same-depth issues.


Improve test coverage for internal/syncbranch (33.0% → 70%)

The syncbranch package has only 33.0% test coverage. This package handles git sync operations and is critical for data integrity.

Current coverage: 33.0%
Target coverage: 70%


bd find-duplicates - AI-powered duplicate detection

Find semantically duplicate issues.

Approaches:
1. Mechanical: Exact title/description matching
2. Embeddings: Cosine similarity (cheap, scalable)
3. AI: LLM-based semantic comparison (expensive, accurate)

Uses embeddings by default for >100 issues.

Files: cmd/bd/find_duplicates.go (new)


Add cancellation and timeout tests

Add comprehensive tests for context cancellation and timeout behavior.

## Context
Part of context propagation work. Validates that bd-rtp and bd-yb8 work correctly.

## Test Coverage Needed

### 1. Cancellation Tests
- [ ] Import operation cancelled mid-stream
- [ ] Export operation cancelled mid-stream
- [ ] Database query cancelled during long operation
- [ ] No corruption after cancellation
- [ ] Proper cleanup (defers execute, connections closed)

### 2. Timeout Tests
- [ ] Operations respect context deadlines
- [ ] Appropriate error messages on timeout
- [ ] State remains consistent after timeout

### 3. Signal Handling Tests
- [ ] SIGINT (Ctrl+C) triggers cancellation
- [ ] SIGTERM triggers graceful shutdown
- [ ] Multiple signals handled correctly

## Implementation Approach
```go
func TestImportCancellation(t *testing.T) {
    ctx, cancel := context.WithCancel(context.Background())

    // Start import in goroutine
    go func() {
        err := runImport(ctx, largeFile)
        assert.Error(err, context.Canceled)
    }()

    // Cancel after short delay
    time.Sleep(100 * time.Millisecond)
    cancel()

    // Verify database integrity
    assertDatabaseConsistent(t, store)
}
```

## Files to Create/Update
- cmd/bd/import_test.go - cancellation tests
- cmd/bd/export_test.go - cancellation tests
- internal/storage/sqlite/*_test.go - context timeout tests

## Acceptance Criteria
- [ ] All critical operations have cancellation tests
- [ ] Tests verify database integrity after cancellation
- [ ] Signal handling tested (if feasible)
- [ ] Test coverage >80% for context paths


Add error handling guidance for export metadata update failures

## Problem
The bd-ymj fix treats all metadata update failures as warnings:

```go
if err := store.SetMetadata(ctx, "last_import_hash", currentHash); err != nil {
    log.log("Warning: failed to update last_import_hash: %v", err)
}
```

But if metadata updates fail, the NEXT export will fail with "JSONL content has changed since last import".

## Questions
1. Should metadata failures be critical (return error)?
2. Should we implement retry logic?
3. Is warning acceptable (safe, just requires import before next export)?

## Current Behavior
- Metadata failure is silent (only logged)
- User won't know until next export fails
- Next export requires import first (safe but annoying)

## Recommendation
Add clear comment explaining the trade-off:

```go
// Note: Metadata update failures are treated as warnings, not errors.
// This is acceptable because the worst case is the next export will
// require an import first, which is safe and prevents data loss.
// Alternative: Make this critical and fail the export if metadata
// updates fail (but this makes exports more fragile).
if err := store.SetMetadata(ctx, "last_import_hash", currentHash); err != nil {
    log.log("Warning: failed to update last_import_hash: %v", err)
    log.log("Next export may require running 'bd import' first")
}
```

## Files
- cmd/bd/daemon_sync.go

## Decision Needed
Choose approach based on failure mode preferences


mergeTombstones does not handle empty DeletedAt timestamps

The mergeTombstones() function uses isTimeAfter() to compare deleted_at timestamps, but does not handle the edge case where one or both tombstones have empty DeletedAt fields. Current behavior with isTimeAfter() semantics: empty string returns false when compared, which means if left.DeletedAt is empty, right wins. If both are empty, behavior depends on isTimeAfter tie-breaker. This should be explicitly handled with a comment or validation. Recommendation: Add explicit handling or documentation for invalid tombstones. Files: internal/merge/merge.go:448-456


Add content-addressable identity to Issue type

## Overview
Phase 1: Add content hashing to enable global identification of issues regardless of their assigned IDs.

## Current Problem
The system identifies issues only by ID (e.g., test-1, test-2). When multiple clones create the same ID with different content, there's no way to identify that these are semantically different issues without comparing all fields.

## Solution
Add a ContentHash field to the Issue type that represents the canonical content fingerprint.

## Implementation Tasks

### 1. Add ContentHash field to Issue type
File: internal/types/types.go
```go
type Issue struct {
    ID          string
    ContentHash string  // SHA256 of canonical content
    // ... existing fields
}
```

### 2. Add content hash computation method
Use existing hashIssueContent from collision.go:186 as foundation:
```go
func (i *Issue) ComputeContentHash() string {
    return hashIssueContent(i)
}
```

### 3. Compute hash at creation time
- Modify CreateIssue to compute and store ContentHash
- Modify CreateIssues (batch) to compute hashes

### 4. Compute hash at import time
- Modify ImportIssues to compute ContentHash for all incoming issues
- Store hash in database

### 5. Add database column
- Add migration to add content_hash column to issues table
- Update SELECT/INSERT statements to include content_hash
- Index on content_hash for fast lookups

### 6. Populate existing issues
- Add migration step to compute ContentHash for all existing issues
- Use hashIssueContent function

## Acceptance Criteria
- Issue type has ContentHash field
- Hash is computed automatically at creation time
- Hash is computed for imported issues
- Database stores content_hash column
- All existing issues have non-empty ContentHash
- Hash is deterministic (same content → same hash)
- Hash excludes ID, timestamps (only semantic content)

## Files to Modify
- internal/types/types.go
- internal/storage/sqlite/sqlite.go (schema, CreateIssue, CreateIssues)
- internal/storage/sqlite/migrations.go (new migration)
- internal/importer/importer.go (compute hash during import)
- cmd/bd/create.go (compute hash at creation)

## Testing
- Unit test: same content produces same hash
- Unit test: different content produces different hash
- Unit test: hash excludes ID and timestamps
- Integration test: hash persists in database
- Migration test: existing issues get hashes populated


Add is_tombstone flag to schema

Optionally add is_tombstone boolean field to issues table. Marks resurrected parents that were deleted. Allows distinguishing tombstones from normal deleted issues. Update schema.go and create migration.


Add test case for symmetric collision (both clones create same ID simultaneously)

TestTwoCloneCollision demonstrates the problem, but we need a simpler unit test for the collision resolver itself.

Test should verify:
- Two issues with same ID, different content
- Content hash determines winner deterministically
- Result is same regardless of which clone imports first
- No title swapping occurs

This can be a simpler test than the full integration test.


Create Docker image for Agent Mail

Containerize Agent Mail server for easy deployment.

Acceptance Criteria:
- Dockerfile with Python 3.14
- Health check endpoint
- Volume mount for storage
- Environment variable configuration
- Multi-arch builds (amd64, arm64)

File: deployment/agent-mail/Dockerfile


Integration test: mutation to export latency

Measure time from bd create to JSONL update. Verify <500ms latency. Test with multiple rapid mutations to verify batching.

Test added to daemon_test.go as TestMutationToExportLatency().

Currently skipped with note that it should be enabled once bd-146 (event-driven daemon) is fully implemented and enabled by default.

The test structure is complete:
1. Sets up test environment with fast debounce (500ms)
2. SingleMutationLatency: measures latency from mutation to JSONL update
3. RapidMutationBatching: verifies multiple mutations batch into single export

Once event-driven mode is default, remove the t.Skip() line and the test will validate <500ms latency.


Add transaction + retry logic for N-way collision resolution

## Problem
Current N-way collision resolution fails on UNIQUE constraint violations during convergence rounds when 5+ clones sync. The RemapCollisions function is non-atomic and performs operations sequentially:
1. Delete old issues (CASCADE deletes dependencies)
2. Create remapped issues (can fail with UNIQUE constraint)
3. Recreate dependencies
4. Update text references

Failure at step 2 leaves database in inconsistent state.

## Solution
Wrap collision resolution in database transaction with retry logic:
- Make entire RemapCollisions operation atomic
- Retry up to 3 times on UNIQUE constraint failures
- Re-sync counters between retries
- Add better error messages for debugging

## Implementation
Location: internal/storage/sqlite/collision.go:342 (RemapCollisions function)

```go
// Retry up to 3 times on UNIQUE constraint failures
for attempt := 0; attempt < 3; attempt++ {
    err := s.db.ExecInTransaction(func(tx *sql.Tx) error {
        // All collision resolution operations
    })
    if !isUniqueConstraintError(err) {
        return err
    }
    s.SyncAllCounters(ctx)
}
```

## Success Criteria
- 5-clone collision test passes reliably
- No partial state on UNIQUE constraint errors
- Automatic recovery from transient ID conflicts

## References
- See beads_nway_test.go:124 for the KNOWN LIMITATION comment
- Related to-7c5915ae (transaction support)

## Progress Made

1. Added `ExecInTransaction` helper to SQLiteStorage for atomic database operations
2. Added `IsUniqueConstraintError` function to detect UNIQUE constraint violations
3. Wrapped `RemapCollisions` with retry logic (up to 3 attempts) with counter sync between retries
4. Enhanced `handleRename` to detect and handle race conditions where target ID already exists
5. Added defensive checks for when old ID has been deleted by another clone

## Test Results

The changes improve N-way collision handling but don't fully solve the problem:
- Original error: `UNIQUE constraint failed: issues.id` during first convergence round
- With changes: Test proceeds further but encounters different collision scenarios
- New error: `target ID already exists with different content` in later convergence rounds

## Root Cause Analysis

The issue is more complex than initially thought. In N-way scenarios:
1. Clone A remaps bd-1c63eb84 → test-2 → test-4
2. Clone B remaps bd-1c63eb84 → test-3 → test-4
3. Both try to create test-4, but with different intermediate states
4. This creates legitimate content collisions that require additional resolution

## Next Steps

The full solution requires:
1. Making remapping fully deterministic across clones (same input → same remapped ID)
2. OR making `handleRename` more tolerant of mid-flight collisions
3. OR implementing full transaction support for multi-step collision resolution -7c5915ae)

The retry logic added here provides a foundation but isn't sufficient for complex N-way scenarios.


bd sync --squash: batch multiple syncs into single commit

For solo developers who don't need real-time multi-agent coordination, add a --squash option to bd sync that accumulates changes and commits them in a single commit rather than one commit per sync.

This addresses the git history pollution concern (many 'bd sync: timestamp' commits) while preserving the default behavior needed for orchestration.

**Proposed behavior:**
- `bd sync --squash` accumulates pending exports
- Only commits when explicitly requested or on session end
- Default behavior unchanged (immediate commits for orchestration)

**Use case:** Solo developers who want cleaner git history but don't need real-time coordination between agents.

**Related:** PR #411 (docs: reduce bd sync commit pollution)
**See also:** Multi-repo support as alternative solution (docs/MULTI_REPO_AGENTS.md)


Add commit and branch to bd version output

The 'bd version' command reports commit and branch correctly when built with 'go build' (thanks to Go 1.25+ automatic VCS info embedding), but NOT when installed with 'go install' or 'make install'. Need to either: 1) Update Makefile to use 'go build' instead of 'go install', or 2) Add explicit ldflags to both Makefile and .goreleaser.yml to ensure commit/branch are always set regardless of build method.


Fix SyncJSONLToWorktree to merge instead of overwrite

SyncJSONLToWorktree blindly copies local JSONL to worktree, overwriting remote issues.

## Root Cause (GitHub #464)
When Computer B syncs with fewer issues than remote:
1. preemptiveFetchAndFastForward updates worktree (10 issues)
2. SyncJSONLToWorktree overwrites with local (1 issue)
3. Commit records deletion of 9 issues
4. 3-way merge sees "deletion in left" → deletion wins

## Fix
Before copying, check if worktree has more issues. If so:
- Option A: Merge local into worktree (preferred)
- Option B: Fail with helpful error message
- Option C: Warn and require --force flag

## Location
internal/syncbranch/worktree.go:107 - SyncJSONLToWorktree call

## Test Case
1. Clone repo with sync-branch containing issues
2. bd init (starts empty since JSONL on sync-branch)
3. bd create "test"
4. bd sync
5. Verify all issues preserved, not just "test"


Design migration path from deletions.jsonl to tombstones

Plan the migration from current deletions manifest to inline tombstones. Steps: 1) Read existing deletions.jsonl and convert to tombstones during import, 2) Continue reading deletions.jsonl for backward compat, 3) Stop writing to deletions.jsonl, 4) Eventually remove deletions.jsonl support. Consider version flags and deprecation warnings.


Extract hash ID generation functions to hash_ids.go

Move generateHashID, getNextChildNumber, GetNextChildID to hash_ids.go


Investigate database pollution - issue count anomalies

Multiple repos showing inflated issue counts suggesting cross-repo pollution:
- ~/src/dave/beads: 895 issues (675 open) - clearly polluted
- ~/src/stevey/src/beads: 280 issues (expected ~209-220) - possibly polluted

Need to investigate:
1. Source of pollution (multi-repo sync issues?)
2. How many duplicate/foreign issues exist
3. Whether recent sync operations caused cross-contamination
4. How to clean up and prevent future pollution

Investigation findings:

**Root cause identified:**
- NOT cross-repo contamination
- NOT automated test leakage (tests properly use t.TempDir())
- Manual testing during template feature development (Nov 2-4)
- Commit ba325a2: "test issues were accidentally committed during template feature development"

**Database growth timeline:**
- Nov 3: 19 issues (baseline)
- Nov 2-5: +244 issues (massive development spike)
- Nov 6-7: +40 issues (continued growth)
- Current: 291 issues → 270 after cleanup

**Test pollution breakdown:**
- 21 issues matching "Test " prefix pattern
- Most created Nov 2-5 during feature development
- Pollution from manual `./bd create "Test issue"` commands in production workspace
- All automated tests properly isolated with t.TempDir()

**Cleanup completed:**
- Ran scripts/cleanup-test-pollution.sh successfully
- Removed 21 test issues
- Database reduced from 291 → 270 issues (7.2% cleanup)
- JSONL synced to git

**Prevention strategy:**
- Filed follow-up issue for prevention mechanisms
- Script can be deleted once prevention is in place
- Tests are already properly isolated - no code changes needed there


Migration guide documentation

Write comprehensive migration guide covering: OSS contributor workflow, team workflow, multi-phase development, multiple personas. Include step-by-step instructions, troubleshooting, and backward compatibility notes.


Test dependency parent


Set up WASM build pipeline

Configure Go→WASM compilation pipeline. Child of epic bd-44d0.

## Tasks
- [ ] Create build-wasm.sh script (GOOS=js GOARCH=wasm)
- [ ] Test basic WASM module loading in Node.js
- [ ] Set up wasm_exec.js wrapper
- [ ] Add WASM build to CI/CD
- [ ] Document build process

## Validation
- bd.wasm compiles successfully
- Can load in Node.js without errors
- Bundle size <10MB


bd sync corrupts issues.jsonl in multi-clone environments

During parallel swarm operations on 2025-11-29, bd sync corrupted the issues database. Commit 93718056 purged all 80 issues from issues.jsonl.

Reproduction:
1. Multiple clones of same repo (polecat swarm)
2. Each clone runs bd sync in parallel
3. One sync overwrites others, resulting in data loss

Even in single-clone scenarios (~/src/beads), running bd sync after git pull seems to nuke the JSONL.

Workaround: Use bd import -i .beads/issues.jsonl --no-git-history instead of bd sync.

Root cause investigation needed. Options:
1. Pessimistic locking (flock)
2. Single point of merge (polecats on ephemeral branches)
3. Beads-level locking (bd sync --lock)


Rapid 3


Fix bd --version and bd completion to work without database


Fix mypy errors in beads-mcp

Running `mypy .` in `integrations/beads-mcp` reports 287 errors. These should be addressed to improve type safety and code quality.


Fix FOREIGN KEY constraint failures in AddComment and ApplyCompaction

The 'CloseIssue', 'UpdateIssueID', and 'RemoveLabel' methods were fixed in PR #348 to prevent foreign key constraint failures when operating on non-existent issues.

However, the Oracle identified two other methods that follow the same problematic pattern:
1. `AddComment` (in `internal/storage/sqlite/events.go`)
2. `ApplyCompaction` (in `internal/storage/sqlite/compact.go`)

These methods attempt to insert an event record after updating the issue, without verifying that the issue update actually affected any rows. This leads to a foreign key constraint failure if the issue does not exist.

We need to:
1. Create reproduction tests for these failure cases
2. Apply the same fix pattern: check `RowsAffected()` after the update, and return a proper "issue not found" error if it is 0, before attempting to insert the event.
3. Standardize the error message format to "issue %s not found" or "issue not found: %s" for consistency.


Document CLI + hooks as recommended approach over MCP

Update documentation to position CLI + bd prime hooks as the primary recommended approach over MCP server, explaining why minimizing context matters even with large context windows (compute cost, energy, environment, latency).


Issue to reopen with reason


Remove Storage Cache from Server Struct

Eliminate cache fields and use s.storage directly


Test parent issue


bd doctor --fix needs non-interactive mode (-y/--yes flag)

When running `bd doctor --fix` in non-interactive mode (scripts, CI, Claude Code), it prompts 'Continue? (Y/n):' and fails with EOF.

**Expected**: A `-y` or `--yes` flag to auto-confirm fixes.

**Workaround**: Currently have to run `bd init` instead, but that's not discoverable from the doctor output.


Install and test MCP Agent Mail locally

Install MCP Agent Mail on a single development machine and verify basic functionality.

Acceptance Criteria:
- Server installed via one-line installer
- Server running on port 8765
- Can register a project via HTTP
- Can register an agent identity
- Web UI accessible at /mail

Tested local installation. Server runs on port 8765, web UI works. MCP API tool execution has errors - needs debugging. See /tmp/bd-muls-report.md for details.


Add MCP server functions for repair commands

Expose new repair commands via MCP server for agent access:

Functions to add:
- beads_repair_deps()
- beads_detect_pollution()
- beads_validate()
- beads_resolve_conflicts() (when implemented)

Update integrations/beads-mcp/src/beads_mcp/server.py

See repair_commands.md lines 803-884 for design.


Clean up linter errors (914 total issues)

The codebase has 914 linter issues reported by golangci-lint. While many are documented as baseline in LINTING.md, we should clean these up systematically to improve code quality and maintainability.

Reduced from 56 to 41 issues locally, then to 0 issues.

**Fixed in commits:**
- c2c7eda: Fixed 15 actual errors (dupl, gosec, revive, staticcheck, unparam)
- 963181d: Configured exclusions to get to 0 issues locally

**Current status:**
- ✅ Local: golangci-lint reports 0 issues
- ❌ CI: Still failing (see [deleted:bd-cb64c226.1])

**Problem:**
Config v2 format or golangci-lint-action@v8 compatibility issue causing CI to fail despite local success.

**Next:** Debug [deleted:bd-cb64c226.1] to fix CI/local discrepancy


Add tests for merge driver auto-config in bd init

Add comprehensive tests for the merge driver auto-configuration functionality in `bd init`.

**Test cases needed:**
- Auto-install in quiet mode
- Skip with --skip-merge-driver flag
- Detect already-installed merge driver
- Append to existing .gitattributes
- Interactive prompt behavior (if feasible)

**File:** `cmd/bd/init_test.go`


bd ready taking 5 seconds with 132 issues (89 closed)

User reports bd ready is annoyingly slow on M2 Mac - 5 seconds for 132 issues (89 closed). Started noticing after hash-based IDs update. Need to investigate performance regression. Reported in GH #243.

Root cause identified: Not a query performance issue, but stale daemon locks causing 5s timeout delays.

Fixed in bd-ndyz (closed) via 5 sub-issues:
- bd-expt: Fast-fail socket checks (200ms timeout)
- bd-wgu4: Lock probe before RPC attempts
- bd-1mzt: Self-heal stale artifacts
- bd-vcg5: Panic recovery + socket cleanup
- bd-j7e2: RPC diagnostics (BD_RPC_DEBUG)

All fixes merged. Ready for v0.22.2 release.


Remove unreachable RPC methods

Several RPC server and client methods are unreachable and should be removed:

Server methods (internal/rpc/server.go):
- `Server.GetLastImportTime` (line 2116)
- `Server.SetLastImportTime` (line 2123)
- `Server.findJSONLPath` (line 2255)

Client methods (internal/rpc/client.go):
- `Client.Import` (line 311) - RPC import not used (daemon uses autoimport)

Evidence:
```bash
go run golang.org/x/tools/cmd/deadcode@latest -test ./...
```

Impact: Removes ~80 LOC of unused RPC code


Test Epic

## Overview

[Describe the high-level goal and scope of this epic]

## Success Criteria

- [ ] Criteria 1
- [ ] Criteria 2
- [ ] Criteria 3

## Background

[Provide context and motivation]

## Scope

**In Scope:**
- Item 1
- Item 2

**Out of Scope:**
- Item 1
- Item 2


bd resolve-conflicts - Git merge conflict resolver

Automatically resolve JSONL merge conflicts.

Modes:
- Mechanical: ID remapping (no AI)
- AI-assisted: Smart merge/keep decisions
- Interactive: Review each conflict

Handles <<<<<<< conflict markers in .beads/beads.jsonl

Files: cmd/bd/resolve_conflicts.go (new)


bd import fails on duplicate external_ref with no resolution options

When JSONL contains duplicate external_ref values (e.g., two issues both have external_ref='BS-170'), bd import fails entirely with no resolution options.

User must manually edit JSONL to remove duplicates, which is error-prone.

Example error:
```
batch import contains duplicate external_ref values:
external_ref 'BS-170' appears in issues: [opal-39 opal-43]
```

Should handle this similar to duplicate issue detection - offer to merge, pick one, or clear duplicates.


Show dependency status in bd show output

When bd show displays dependencies and dependents, include their status (open/closed/in_progress/blocked) for quick progress tracking. Improves context rebuilding and planning.


Measure notification latency vs git sync

Benchmark end-to-end latency for status updates to propagate between agents using both methods.

Acceptance Criteria:
- Measure git sync latency (commit → push → pull → import)
- Measure Agent Mail latency (send_message → fetch_inbox)
- Document latency distribution (p50, p95, p99)
- Verify <100ms claim for Agent Mail
- Compare against 1-5s baseline for git

Success Metric: Agent Mail latency < 100ms, git sync latency > 1000ms

Latency benchmark completed. Results documented in latency_results.md:
- Git sync: 2000-5000ms (full cycle with network)
- Agent Mail: <100ms (HTTP API round-trip)
- Confirms 20-50x latency reduction claim


Test RPC mutation event


Document bd edit command and verify MCP exclusion

Follow-up from PR #152:
1. Add "bd edit" to AGENTS.md with "Humans only" note
2. Verify MCP server doesn't expose bd edit command
3. Consider adding test for command registration


Improve sync error messages

When bd sync fails, immediately surface the actual root cause (prefix mismatch, orphaned children, forced push detected, etc.) instead of requiring multiple retries to discover it. Make errors actionable with specific recovery steps.


Duplicate safety check message when confirmation required


Test label update feature


Fix GH #227: bd edit broken pipe errors

bd edit command gets "broken pipe" errors when using daemon mode because editing can take minutes and the daemon connection times out.

Solution: Force bd edit to always use direct mode (--no-daemon) since it's human-only and interactive.

Fixed by checking cmd.Name() == "edit" in main.go PersistentPreRun and setting noDaemon = true.


Priority 0 in merge may incorrectly win over set priorities

In mergePriority(), priority 0 (which may mean 'unset' due to Go's zero value) beats any explicitly set priority like P1, P2, etc. Should probably treat 0 as 'no priority set' and not let it win conflicts.


Respond to GitHub issue #479 with solution

Once bd reset is implemented and released, respond to GitHub issue #479.

## Response should include
- Announce the new bd reset command
- Show basic usage examples
- Link to any documentation
- Thank the user for the feedback

## Example response
```
Thanks for raising this! We've added a `bd reset` command to handle this case.

Usage:
- `bd reset` - Reset to clean state (prompts for confirmation)
- `bd reset --backup` - Create backup first
- `bd reset --hard` - Also clean up git history

This is available in version X.Y.Z.
```

## Notes
- Wait until feature is merged and released
- Consider if issue should be closed or left for user confirmation


Plugin should provide hooks instead of requiring global install


Extract migration functions to migrations.go

Move migrateDirtyIssuesTable, migrateExternalRefColumn, migrateCompositeIndexes, migrateClosedAtConstraint, migrateCompactionColumns, migrateSnapshotsTable, migrateCompactionConfig, migrateCompactedAtCommitColumn, migrateExportHashesTable, migrateContentHashColumn to a separate migrations.go file


Add comprehensive tests for sync branch daemon logic

The daemon sync branch functionality (bd-6545) was implemented but needs proper end-to-end testing.

Current implementation:
- daemon_sync_branch.go has syncBranchCommitAndPush() and syncBranchPull()
- daemon_sync.go has been updated to use these functions when sync.branch is configured
- All daemon tests pass, but no specific tests for sync branch behavior

Testing needed:
- Test that daemon commits to sync branch when sync.branch is configured
- Test that daemon commits to current branch when sync.branch is NOT configured (backward compatibility)
- Test that daemon pulls from sync branch and syncs JSONL back to main repo
- Test worktree creation and health checks during daemon operations
- Test error handling (missing branch, worktree corruption, etc.)

Key challenge: Tests need to run in the context of the git repo (getGitRoot() uses current working directory), so test setup needs to properly change directory or mock the git root detection.

Reference existing daemon tests in daemon_test.go and daemon_autoimport_test.go for patterns.


Review PR #513: fix hooks install docs

Review and merge PR #513 from aspiers. This PR fixes incorrect docs for how to install git hooks - updates README to use bd hooks install instead of removed install.sh. Simple 1-line change. URL: https://github.com/anthropics/beads/pull/513


Makefile Integration for Benchmarks

Add a single 'bench' target to the Makefile for running performance benchmarks.

Target:
.PHONY: bench

bench:
	go test -bench=. -benchtime=3s -tags=bench \
		-cpuprofile=cpu.prof -memprofile=mem.prof \
		./internal/storage/sqlite/
	@echo ""
	@echo "Profiles generated. View flamegraph:"
	@echo "  go tool pprof -http=:8080 cpu.prof"

Features:
- Single simple target, no complexity
- Always generates CPU and memory profiles
- Clear output on how to view results
- 3 second benchmark time for reliable results
- Uses bench build tag for heavy benchmarks

Usage:
  make bench                              # Run all benchmarks
  go test -bench=BenchmarkGetReadyWork... # Run specific benchmark


Test child daemon mode


bd-hv01: Non-atomic snapshot operations can cause data loss

## Problem
In sync.go:146-155 and daemon_sync.go:502-505, snapshot capture failures are logged as warnings but sync continues:

```go
if err := exportToJSONL(ctx, jsonlPath); err != nil { ... }
if err := captureLeftSnapshot(jsonlPath); err != nil {
    fmt.Fprintf(os.Stderr, "Warning: failed to capture snapshot...")
}
```

If export succeeds but snapshot capture fails, the merge uses stale snapshot data, potentially deleting wrong issues.

## Impact
- Critical data integrity issue
- Could delete issues incorrectly during multi-workspace sync

## Fix
Make snapshot capture mandatory:
```go
if err := captureLeftSnapshot(jsonlPath); err != nil {
    return fmt.Errorf("failed to capture snapshot (required for deletion tracking): %w", err)
}
```

## Files Affected
- cmd/bd/sync.go:146-155
- cmd/bd/daemon_sync.go:502-505


Implement postinstall script for binary download

Create npm/scripts/postinstall.js that downloads platform-specific binaries:

## Platform detection
- Detect os.platform() and os.arch()
- Map to GitHub release asset names:
  - linux-amd64 → bd-linux-amd64
  - linux-arm64 → bd-linux-arm64
  - darwin-amd64 → bd-darwin-amd64
  - darwin-arm64 → bd-darwin-arm64
  - win32-x64 → bd-windows-amd64.exe

## Download logic
- Fetch from GitHub releases: https://github.com/steveyegge/beads/releases/latest/download/${asset}
- Save to npm/bin/bd (or bd.exe on Windows)
- Set executable permissions (chmod +x)
- Handle errors gracefully with helpful messages

## Error handling
- Check for unsupported platforms
- Retry on network failures
- Provide manual download instructions if automated fails
- Skip download if binary already exists (for local development)


Import validation falsely reports data loss on collision resolution

## Problem

Post-import validation reports 'data loss detected!' when import count reduces due to legitimate collision resolution.

## Example

```
Import complete: 1 created, 8 updated, 142 unchanged, 19 skipped, 1 issues remapped
Post-import validation failed: import reduced issue count: 165 → 164 (data loss detected!)
```

This was actually successful collision resolution (bd-70419816 duplicated → remapped to-70419816), not data loss.

## Impact

- False alarms waste investigation time
- Undermines confidence in import validation
- Confuses users/agents about sync health

## Solution

Improve validation to distinguish:
- Collision-resolution merges (expected count reduction)
- Actual data loss (unexpected disappearance)

Track remapped issue count and adjust expected post-import count accordingly.


Create npm package structure for bd-wasm

Set up npm package for distribution:
- Create package.json with bd-wasm name
- Bundle bd.wasm + wasm_exec.js
- Create CLI wrapper (bin/bd) that invokes WASM
- Add installation scripts if needed
- Configure package for Claude Code Web sandbox compatibility


WASM port of bd for Claude Code Web sandboxes

Enable beads to work in Claude Code Web sandboxes by compiling bd to WebAssembly.

## Problem
Claude Code Web sandboxes cannot install bd CLI due to network restrictions:
- GitHub releases return 403
- go install fails with DNS errors
- Binary cannot be downloaded

## Solution
Compile bd Go codebase to WASM, publish to npm as drop-in replacement.

## Technical Approach
- Use GOOS=js GOARCH=wasm to compile bd
- modernc.org/sqlite already supports js/wasm target
- Publish to npm as bd-wasm package
- Full feature parity with bd CLI

## Success Criteria
- bd-wasm installs via npm in web sandbox
- All core bd commands work identically
- JSONL output matches native bd
- Performance within 2x of native

WASM port abandoned - Claude Code Web has full VMs not browser restrictions. Better: npm + native binary


deletions.jsonl gets corrupted with full issue objects instead of deletion records

## Bug Description

The deletions.jsonl file was found to contain full issue objects (like issues.jsonl) instead of deletion records.

### Expected Format (DeletionRecord)
```json
{"id":"bd-xxx","timestamp":"2025-...","actor":"user","reason":"deleted"}
```

### Actual Content Found
```json
{"id":"bd-03r","title":"Document deletions manifest...","description":"...","status":"closed",...}
```

## Impact
- bd sync sanitization step reads deletions.jsonl and removes any matching IDs from issues.jsonl
- With 60 full issue objects in deletions.jsonl, ALL 60 issues were incorrectly removed during sync
- This caused complete data loss of the issue database

## Root Cause (suspected)
Something wrote issues.jsonl content to deletions.jsonl. Possible causes:
- Export writing to wrong file
- File path confusion during sync
- Race condition between export and deletion tracking

## Related Issues
- bd-0b2: --no-git-history flag (just fixed)
- bd-4pv: export outputs only 1 issue after corruption
- bd-4t7: auto-import runs during --no-auto-import

## Reproduction
Unknown - discovered during bd sync session on 2025-11-26

## Fix
Need to investigate what code path could write issue objects to deletions.jsonl


CRDT-based architecture for guaranteed convergence (v2.0)

## Vision
Redesign beads around Conflict-Free Replicated Data Types (CRDTs) to provide mathematical guarantees for N-way collision resolution at arbitrary scale.

## Current Limitations
- Content-hash based collision resolution fails at 5+ clones
- Non-deterministic convergence in multi-round scenarios
- UNIQUE constraint violations during rename operations
- No formal proof of convergence properties

## CRDT Benefits
- Provably convergent (Strong Eventual Consistency)
- Commutative/Associative/Idempotent operations
- No coordination required between clones
- Scales to 100+ concurrent workers
- Well-understood mathematical foundations

## Proposed Architecture

### 1. UUID-Based IDs
Replace sequential IDs with UUIDs:
- Current: bd-1c63eb84, bd-9063acda, bd-4d80b7b1
- CRDT: bd-a1b2c3d4-e5f6-7890-abcd-ef1234567890
- Human aliases maintained separately: #42 maps to UUID

### 2. Last-Write-Wins (LWW) Elements
Each field becomes an LWW register:
- title: (timestamp, clone_id, value)
- status: (timestamp, clone_id, value)
- Deterministic conflict resolution via Lamport timestamp + clone_id tiebreaker

### 3. Operation Log
Track all operations as CRDT ops:
- CREATE(uuid, timestamp, clone_id, fields)
- UPDATE(uuid, field, timestamp, clone_id, value)
- DELETE(uuid, timestamp, clone_id) - tombstone, not hard delete

### 4. Sync as Merge
Syncing becomes merging two CRDT states:
- No merge conflicts possible
- Deterministic merge function
- Guaranteed convergence

## Implementation Phases

### Phase 1: Research & Design (4 weeks)
- Study existing CRDT implementations (Automerge, Yjs, Loro)
- Design schema for CRDT-based issue tracking
- Prototype LWW-based Issue CRDT
- Benchmark performance vs current system

### Phase 2: Parallel Implementation (6 weeks)
- Implement CRDT storage layer alongside SQLite
- Build conversion tools: SQLite ↔ CRDT
- Maintain backward compatibility with v1.x format
- Migration path for existing databases

### Phase 3: Testing & Validation (4 weeks)
- Formal verification of convergence properties
- Stress testing with 100+ clone scenario
- Performance profiling and optimization
- Documentation and examples

### Phase 4: Migration & Rollout (4 weeks)
- Release v2.0-beta with CRDT backend
- Gradual migration from v1.x
- Monitoring and bug fixes
- Final v2.0 release

## Risks & Mitigations

**Risk 1: Performance overhead**
- Mitigation: Benchmark early, optimize hot paths
- CRDTs can be slower than append-only logs
- May need compaction strategy

**Risk 2: Storage bloat**
- Mitigation: Implement operation log compaction
- Tombstone garbage collection for deleted issues
- Periodic snapshots to reduce log size

**Risk 3: Breaking changes**
- Mitigation: Maintain v1.x compatibility layer
- Gradual migration tools
- Dual-mode operation during transition

**Risk 4: Complexity**
- Mitigation: Use battle-tested CRDT libraries
- Comprehensive documentation
- Clear migration guide

## Success Criteria
- 100-clone collision test passes without failures
- Formal proof of convergence properties
- Performance within 2x of current system
- Zero manual conflict resolution required
- Backward compatible with v1.x databases

## Timeline
18-20 weeks total (4-5 months)

## References
- Automerge: https://automerge.org
- Yjs: https://docs.yjs.dev
- Loro: https://loro.dev
- CRDT theory: Shapiro et al, A comprehensive study of CRDTs
- Related issues: bd-e6d71828, bd-7a2b58fc, bd-81abb639


Migration and onboarding for multi-repo

Create migration tools, wizards, and documentation to help users adopt multi-repo workflow, with special focus on OSS contributor onboarding and team adoption scenarios.


Override test

## Overview

[Describe the high-level goal and scope of this epic]

## Success Criteria

- [ ] Criteria 1
- [ ] Criteria 2
- [ ] Criteria 3

## Background

[Provide context and motivation]

## Scope

**In Scope:**
- Item 1
- Item 2

**Out of Scope:**
- Item 1
- Item 2


Separate process/lock/PID concerns into process.go

Create internal/daemonrunner/process.go with: acquireDaemonLock, PID file read/write, stopDaemon, isDaemonRunning, getPIDFilePath, socket path helpers, version check.


Implement clone-scoped ID allocation to prevent N-way collisions

## Problem
Current ID allocation uses per-clone atomic counters (issue_counters table) that sync based on local database state. In N-way collision scenarios:
- Clone B sees {test-1} locally, allocates test-2
- Clone D sees {test-1, test-2, test-3} locally, allocates test-4
- When same content gets assigned test-2 and test-4, convergence fails

Root cause: Each clone independently allocates IDs without global coordination, leading to overlapping assignments for the same content.

## Solution
Add clone UUID to ID allocation to make every ID globally unique:

**Current format:** `test-1`, `test-2`, `test-3`
**New format:** `test-1-a7b3`, `test-2-a7b3`, `test-3-c4d9`

Where suffix is first 4 chars of clone UUID.

## Implementation

### 1. Add clone_identity table
```sql
CREATE TABLE clone_identity (
    clone_uuid TEXT PRIMARY KEY,
    created_at DATETIME DEFAULT CURRENT_TIMESTAMP
);
```

### 2. Modify getNextIDForPrefix()
```go
func (s *SQLiteStorage) getNextIDForPrefix(ctx context.Context, prefix string) (string, error) {
    cloneUUID := s.getOrCreateCloneUUID(ctx)
    shortUUID := cloneUUID[:4]

    nextNum := s.getNextCounterForPrefix(ctx, prefix)
    return fmt.Sprintf("%s-%d-%s", prefix, nextNum, shortUUID), nil
}
```

### 3. Update ID parsing logic
All places that parse IDs (utils.ExtractIssueNumber, etc.) need to handle new format.

### 4. Migration strategy
- Existing IDs remain unchanged (no suffix)
- New IDs get clone suffix automatically
- Display layer can hide suffix in UI: `bd-cb64c226.3-a7b3` → `#42`

## Benefits
- **Zero collision risk**: Same content in different clones gets different IDs
- **Maintains readability**: Still sequential numbering within clone
- **No coordination needed**: Works offline, no central authority
- **Scales to 100+ clones**: 4-char hex = 65,536 unique clones

## Concerns
- ID format change may break existing integrations
- Need migration path for existing databases
- Display logic needs update to hide/show suffixes appropriately

## Success Criteria
- 10+ clone collision test passes without failures
- Existing issues continue to work (backward compatibility)
- Documentation updated with new ID format
- Migration guide for v1.x → v2.x

## Timeline
Medium-term (v1.1-v1.2), 2-3 weeks implementation

## References
- Related to bd-e6d71828 (immediate fix)
- See beads_nway_test.go for failing N-way tests


Add --lock-timeout global flag

Add new global flag to control SQLite busy_timeout.

## Implementation
1. Add to cmd/bd/main.go:
   - `lockTimeout time.Duration` global variable
   - Register flag: `--lock-timeout=<duration>` (default 30s)

2. Add config support in internal/config/config.go:
   - `v.SetDefault("lock-timeout", "30s")`
   - Read from config.yaml if not set via flag

3. Pass timeout to sqlite.New() - see next task

## Acceptance Criteria
- `bd --lock-timeout=0 list` fails immediately if DB is locked
- `bd --lock-timeout=100ms list` waits max 100ms
- Config file setting works: `lock-timeout: 100ms`
- Default remains 30s for backward compatibility

Part of bd-olc1


Refactor duplicate JSONL-from-git parsing code

Both readFirstIssueFromGit() in init.go and importFromGit() in autoimport.go have similar code patterns for:
1. Running git show <ref>:<path>
2. Scanning the output with bufio.Scanner
3. Parsing JSON lines

Could be refactored to share a helper like:
- readJSONLFromGit(gitRef, path string) ([]byte, error)
- Or a streaming version: streamJSONLFromGit(gitRef, path string) (io.Reader, error)

Files:
- cmd/bd/autoimport.go:225-256 (importFromGit)
- cmd/bd/init.go:1212-1243 (readFirstIssueFromGit)

Priority is low since code duplication is minimal and both functions work correctly.


Blocking issue


Test issue


PushSyncBranch may fail if worktree was cleaned up


Investigate jujutsu integration for beads

Research and document how beads could integrate with jujutsu (jj), the next-generation VCS. Key areas to explore:
- How jj's operation model differs from git (immutable operations, working-copy-as-commit)
- JSONL sync strategy with jj's conflict resolution model
- Daemon compatibility with jj's more frequent rewrites
- Whether auto-import/export needs changes for jj workflows
- Example configurations and documentation updates needed


Publish bd-wasm to npm

Package and publish WASM build to npm. Child of epic bd-44d0.

## Tasks
- [ ] Optimize WASM bundle (compression)
- [ ] Create README for npm package
- [ ] Set up npm publishing workflow
- [ ] Publish v0.1.0-alpha
- [ ] Test installation in clean environment
- [ ] Update beads AGENTS.md with installation instructions

## Package Name
bd-wasm (or @beads/wasm-cli)


Latency test manual


Audit Current Cache Usage

Understand exactly what code depends on the storage cache

Audit complete. See CACHE_AUDIT.md for full findings.

Summary:
- Cache was already removed in commit 322ab63 (2025-10-28)
- server_cache_storage.go deleted (~286 lines)
- All getStorageForRequest calls replaced with s.storage
- All environment variables removed
- MCP multi-repo works via per-project daemon architecture
- All tests updated and passing
- Only stale comment in server.go needed fixing


Fix checkExistingBeadsData to be worktree-aware

The checkExistingBeadsData function in cmd/bd/init.go checks for .beads in the current working directory, but for worktrees it should check the main repository root instead. This prevents proper worktree compatibility.


Performance Testing Framework

Add comprehensive performance testing for beads focusing on optimization guidance and validating 10K+ database scale. Uses standard Go tooling, follows existing patterns, minimal complexity.

Components:
- Benchmark suite for critical operations at 10K-20K scale
- Fixture generator for realistic test data (epic hierarchies, cross-links)
- User diagnostics via bd doctor --perf
- Always-on profiling integration

Goals:
- Identify bottlenecks for optimization work
- Validate performance at 10K+ issue scale
- Enable users to collect diagnostics for bug reports
- Support both SQLite and JSONL import paths


bd doctor should check for multiple DBs, multiple JSONLs, daemon health


Audit and consolidate collision test coverage

The codebase has 2,019 LOC of collision detection tests across 3 files. Run coverage analysis to identify redundant test cases and consolidate.

Test files:
- `cmd/bd/import_collision_test.go` - 974 LOC
- `cmd/bd/autoimport_collision_test.go` - 750 LOC
- `cmd/bd/import_collision_regression_test.go` - 295 LOC

Total: 2,019 LOC of collision tests

Analysis steps:
1. Run coverage analysis
2. Identify redundant tests
3. Document findings

Consolidation strategy:
- Keep regression tests for critical bugs
- Merge overlapping table-driven tests
- Remove redundant edge case tests covered elsewhere
- Ensure all collision scenarios still tested

Expected outcome: Reduce to ~1,200 LOC (save ~800 lines) while maintaining coverage

Impact: Faster test runs, easier maintenance, clearer test intent


Test FK constraint via close


Sync sanitize incorrectly removes newly created issues

## Problem

The sync sanitize process incorrectly identifies newly created issues as 'deleted issues resurrected by git merge' and removes them from the local JSONL file.

## Reproduction

1. Create a new issue: bd create --title='Test issue'
2. Run bd sync
3. Observe: New issue appears in sanitize removal list
4. Issue is removed from local JSONL but preserved on beads-sync branch

## Observed Behavior

During sync, the sanitize step outputs:
```
→ Sanitized JSONL: removed 738 deleted issue(s) that were resurrected by git merge
  - bd-08ea  (newly created issue!)
  - bd-tnsq  (newly created issue!)
  ...
```

The newly created issues get removed locally but remain on beads-sync branch.

## Expected Behavior

Newly created issues should NOT be removed by sanitize. The sanitize should only remove issues that:
1. Were previously deleted (have tombstones or are in deletions manifest)
2. Are being resurrected from old git history

## Root Cause Investigation

The sanitize logic likely compares the local DB snapshot against some reference and incorrectly classifies new issues as 'resurrected deleted issues'. Possible causes:
- Snapshot protection logic not accounting for new issues
- Deletion manifest containing stale entries
- Race condition between export and sanitize

## Impact

- New issues disappear from local JSONL after sync
- Issues remain on beads-sync but cause confusion
- Multi-agent workflows affected when agents can't see new issues locally
- Requires manual intervention to recover

## Files to Investigate

- cmd/bd/sync.go - sanitize logic
- cmd/bd/snapshot_manager.go - snapshot comparison
- Deletion manifest handling

## Acceptance Criteria

- [ ] Newly created issues survive sync without being sanitized
- [ ] Only truly deleted/resurrected issues are removed
- [ ] Add test case for this scenario


Build Node.js CLI wrapper for WASM

Create npm package that wraps bd.wasm. Child of epic bd-44d0.

## Tasks
- [ ] Set up npm package structure (package.json)
- [ ] Implement CLI argument parsing
- [ ] Load and execute WASM module
- [ ] Handle stdout/stderr correctly
- [ ] Support --json flag for all commands
- [ ] Add bd-wasm bin script

## Success Criteria
- bd-wasm ready --json works identically to bd
- All core commands supported


Add 'When to use daemon mode' decision tree to daemon.md

**Problem:**
Users (especially local-only developers) see daemon-related messages but don't understand:
- What daemon mode does (git sync automation)
- Whether they need it
- Why they see "daemon_unsupported" messages

Related to issue #349 item #3.

**Current state:**
commands/daemon.md explains WHAT daemon does but not WHEN to use it.

**Proposed addition:**
Add a "When to Use Daemon Mode" section after line 20 in commands/daemon.md with clear decision criteria:

**✅ You SHOULD use daemon mode if:**
- Working in a team with git remote sync
- Want automatic commit/push of issue changes
- Need background auto-sync (5-second debounce)
- Making frequent bd commands (performance benefit)

**❌ You DON'T need daemon mode if:**
- Solo developer with local-only tracking
- Working in git worktrees (use --no-daemon)
- Running one-off commands/scripts
- Debugging database issues

**Local-only users:** Direct mode is perfectly fine. Daemon mainly helps with git sync automation. You can use `bd sync` manually when needed.

**Files to modify:**
- commands/daemon.md (add section after line 20)


Test child direct


Rapid 5


Add tests for internal/importer package

Currently 0.0% coverage. Need tests for JSONL import logic including collision detection and resolution.


Implement global N-way collision resolution algorithm

## Overview
Phase 3: Replace pairwise collision resolution with global N-way resolution that produces deterministic results regardless of sync order.

## Current Problem
ScoreCollisions (collision.go:228) compares issues pairwise:
```go
collision.RemapIncoming = existingHash < incomingHash
```

This works for 2-way but fails for 3+ way because:
- Each clone makes local decisions without global context
- No guarantee intermediate states are consistent
- Remapping decisions depend on sync order
- Can't detect transitive remap chains (test-1 → test-2 → test-3)

## Solution
Implement global resolution that:
1. Collects ALL versions of same logical issue
2. Sorts by content hash (deterministic)
3. Assigns sequential IDs based on sorted order
4. All clones converge to same assignments

## Implementation Tasks

### 1. Create ResolveNWayCollisions function
File: internal/storage/sqlite/collision.go

Replace ScoreCollisions with:
```go
// ResolveNWayCollisions handles N-way collisions deterministically.
// Groups all versions with same base ID, sorts by content hash,
// assigns sequential IDs. Returns mapping of old ID → new ID.
func ResolveNWayCollisions(ctx context.Context, s *SQLiteStorage,
    collisions []*CollisionDetail, incoming []*types.Issue) (map[string]string, error) {

    if len(collisions) == 0 {
        return make(map[string]string), nil
    }

    // Group by base ID pattern (e.g., test-1, test-2 → base "test-1")
    groups := groupCollisionsByBaseID(collisions)

    idMapping := make(map[string]string)

    for baseID, versions := range groups {
        // 1. Collect all unique versions by content hash
        uniqueVersions := deduplicateVersionsByContentHash(versions)

        // 2. Sort by content hash (deterministic!)
        sort.Slice(uniqueVersions, func(i, j int) bool {
            return uniqueVersions[i].ContentHash < uniqueVersions[j].ContentHash
        })

        // 3. Assign sequential IDs based on sorted order
        prefix := extractPrefix(baseID)
        baseNum := extractNumber(baseID)

        for i, version := range uniqueVersions {
            targetID := fmt.Sprintf("%s-%d", prefix, baseNum+i)

            // Map this version to its deterministic ID
            if version.ID != targetID {
                idMapping[version.ID] = targetID
            }
        }
    }

    return idMapping, nil
}
```

### 2. Implement helper functions

```go
// groupCollisionsByBaseID groups collisions by their logical base ID
func groupCollisionsByBaseID(collisions []*CollisionDetail) map[string][]*types.Issue {
    groups := make(map[string][]*types.Issue)
    for _, c := range collisions {
        baseID := c.ID  // All share same ID (that's why they collide)
        groups[baseID] = append(groups[baseID], c.ExistingIssue, c.IncomingIssue)
    }
    return groups
}

// deduplicateVersionsByContentHash keeps one issue per unique content hash
func deduplicateVersionsByContentHash(issues []*types.Issue) []*types.Issue {
    seen := make(map[string]*types.Issue)
    for _, issue := range issues {
        if _, found := seen[issue.ContentHash]; !found {
            seen[issue.ContentHash] = issue
        }
    }
    result := make([]*types.Issue, 0, len(seen))
    for _, issue := range seen {
        result = append(result, issue)
    }
    return result
}
```

### 3. Update handleCollisions in importer
File: internal/importer/importer.go

Replace ScoreCollisions call with:
```go
// OLD:
if err := sqlite.ScoreCollisions(ctx, sqliteStore, collisionResult.Collisions, allExistingIssues); err != nil {
    return nil, fmt.Errorf("failed to score collisions: %w", err)
}

// NEW:
idMapping, err := sqlite.ResolveNWayCollisions(ctx, sqliteStore,
    collisionResult.Collisions, issues)
if err != nil {
    return nil, fmt.Errorf("failed to resolve collisions: %w", err)
}
```

### 4. Update RemapCollisions
RemapCollisions currently uses collision.RemapIncoming field. Update to use idMapping directly:
- Remove RemapIncoming logic
- Use idMapping to determine what to remap
- Simplify to just apply the computed mapping

### 5. Add comprehensive tests

Test cases:
1. 3-way collision with different content → 3 sequential IDs
2. 3-way collision with 2 identical content → 2 IDs (dedupe works)
3. Sync order independence (A→B→C vs C→A→B produce same result)
4. Content hash ordering is respected
5. Works with 5+ clones

## Acceptance Criteria
- ResolveNWayCollisions implemented and replaces ScoreCollisions
- Groups all versions of same ID together
- Deduplicates by content hash
- Sorts by content hash deterministically
- Assigns sequential IDs starting from base ID
- Returns complete mapping (old ID → new ID)
- All clones converge to same ID assignments
- Works for arbitrary N-way collisions
- TestThreeCloneCollision passes (or gets much closer)

## Files to Modify
- internal/storage/sqlite/collision.go (new function, helpers)
- internal/importer/importer.go (call new function)
- internal/storage/sqlite/collision_test.go (comprehensive tests)

## Testing Strategy

### Unit Tests
- groupCollisionsByBaseID correctly groups
- deduplicateVersionsByContentHash removes duplicates
- Sorting by hash is stable and deterministic
- Sequential ID assignment is correct

### Integration Tests
- 3-way collision resolves to 3 issues
- Sync order doesn't affect final IDs
- Content hash ordering determines winner

### Property Tests
- For any N clones with same content, all converge to same IDs
- Idempotent: running resolution twice produces same result

## Dependencies
- Requires bd-cbed9619.5 (ContentHash field) to be completed first
- Requires bd-cbed9619.4 (read-only detection) for clean integration

## Notes
This is the core algorithm that enables convergence. The key insight:
**Sort by content hash globally, not pairwise comparison.**


Event-driven daemon architecture

Replace 5-second polling sync loop with event-driven architecture that reacts instantly to changes. Eliminates stale data issues while reducing CPU ~60%. Key components: FileWatcher (fsnotify), Debouncer (500ms), RPC mutation events, optional git hooks. Target latency: <500ms (vs 5000ms). See event_driven_daemon.md for full design.


Fragile no-db detection uses strings.Contains instead of YAML parsing

Two locations use `strings.Contains(string(configData), "no-db: true")` to detect JSONL-only mode:

1. **cmd/bd/main.go:310** - Auto-enabling no-db mode
2. **cmd/bd/doctor.go:863** - Database status check

This is fragile because it could match:
- Comments: `# no-db: true for testing`
- Nested keys: `settings:\n  no-db: true`
- String values: `note: "set no-db: true to disable"`

Should use proper YAML parsing like we did for sync-branch in bd-0rh:

```go
type noDbConfig struct {
    NoDb bool `yaml:"no-db"`
}

var cfg noDbConfig
if err := yaml.Unmarshal(configData, &cfg); err == nil {
    isNoDbMode = cfg.NoDb
}
```

Related: bd-0rh (fixed similar issue for sync-branch)


Replace Windows CI full test suite with smoke tests

## Problem

Windows CI tests consistently timeout at 30 minutes despite multiple optimization attempts:
- Split into parallel jobs (cmd vs internal) - still times out
- RAM disk for temp/cache - marginal improvement (~50%)
- RAM disk for workspace - breaks due to t.Chdir() incompatibility with ImDisk

Root cause: Windows I/O is fundamentally 20x slower than Linux:
- NTFS slow for small file operations
- Windows Defender scans every file access
- Git on Windows is 5-10x slower
- Process spawning is expensive

Linux tests complete in ~1.5 min with race detector. Windows takes 30+ min without.

## Current State

- Windows jobs have continue-on-error: true (don't block PRs)
- Tests timeout before completing, providing zero signal
- RAM disk experiments added complexity without solving the problem

## Solution: Smoke Tests Only

Replace full test suite with minimal smoke tests that verify Windows compatibility in < 2 minutes.

### What to Test
1. Binary builds - go build succeeds (already separate step)
2. Binary executes - bd version works
3. Init works - bd init creates valid database
4. Basic CRUD - create, list, show, update, close
5. Path handling - Windows backslash paths work

### Proposed CI Change

Replace test-windows-cmd and test-windows-internal with single smoke test job:
- Build bd.exe
- Run: bd version
- Run: bd init --quiet --prefix smoke
- Run: bd create --title "Windows smoke test" --type task
- Run: bd list
- Run: bd show smoke-001
- Run: bd update smoke-001 --status in_progress
- Run: bd close smoke-001

### Benefits
- Completes in < 2 minutes vs 30+ minute timeouts
- Provides actual pass/fail signal
- Verifies Windows binary works
- Removes RAM disk complexity
- Single job instead of two parallel jobs

### Files to Change
- .github/workflows/ci.yml - Replace test-windows-cmd and test-windows-internal jobs

### Migration Steps
1. Remove test-windows-cmd job
2. Remove test-windows-internal job
3. Add single test-windows job with smoke tests
4. Remove continue-on-error (tests should now pass reliably)
5. Clean up RAM disk remnants from previous attempts

### Context
- Parent issue: bd-5we (Use RAM disk for Windows CI tests)
- RAM disk approach proved insufficient
- This is the pragmatic solution after extensive experimentation


Add 'town report' command for aggregated swarm status

## Problem
Getting a full swarm status requires running 6+ commands:
- `town list <rig>` for each rig
- `town mail inbox` as Boss
- `bd list --status=open/in_progress` per rig

This is slow and error-prone for both humans and agents.

## Proposed Solution
Add `town report [RIG]` command that aggregates:
- All rigs with polecat states (running/stopped, awake/asleep)
- Boss inbox summary (unread count, recent senders)
- Aggregate issue counts per rig (open/in_progress/blocked)

Example output:
```
=== beads ===
Polecats: 5 (5 running, 0 stopped)
Issues: 20 open, 0 in_progress, 0 blocked

=== gastown ===
Polecats: 6 (4 running, 2 stopped)
Issues: 0 open, 0 in_progress, 0 blocked

=== Boss Mail ===
Unread: 10 | Total: 22
Recent: rictus (21:19), scrotus (21:14), immortanjoe (21:14)
```

## Acceptance Criteria
- [ ] `town report` shows all rigs
- [ ] `town report <rig>` shows single rig detail
- [ ] Output is concise and scannable
- [ ] Completes in <2 seconds


Design tombstone storage format

Define the JSON schema for tombstone records. Options: minimal (id, deleted_at, deleted_by, expires_at) vs full preservation (keep all original fields). Trade-offs: storage size vs audit trail. Consider: should tombstones be distinguishable from regular issues by status field or separate record type?


Add Result.ConvertedToTombstone counter for import statistics

The import Result struct has SkippedDeleted but doesn't distinguish between:
1. Issues skipped because they're in deletions manifest (old behavior)
2. Issues converted from deletions.jsonl to tombstones (new bd-dve behavior)

Add a new ConvertedToTombstone counter to track legacy deletions converted to tombstones during import. This provides better visibility into the migration process.


## Vision
Redesign beads around Conflict-Free Replicated Data Types (CRDTs) to provide mathematical guarantees for N-way collision resolution at arbitrary scale.

## Current Limitations
- Content-hash based collision resolution fails at 5+ clones
- Non-deterministic convergence in multi-round scenarios
- UNIQUE constraint violations during rename operations
- No formal proof of convergence properties

## CRDT Benefits
- Provably convergent (Strong Eventual Consistency)
- Commutative/Associative/Idempotent operations
- No coordination required between clones
- Scales to 100+ concurrent workers
- Well-understood mathematical foundations

## Proposed Architecture

### 1. UUID-Based IDs
Replace sequential IDs with UUIDs:
- Current: bd-1c63eb84, bd-9063acda, bd-4d80b7b1
- CRDT: bd-a1b2c3d4-e5f6-7890-abcd-ef1234567890
- Human aliases maintained separately: #42 maps to UUID

### 2. Last-Write-Wins (LWW) Elements
Each field becomes an LWW register:
- title: (timestamp, clone_id, value)
- status: (timestamp, clone_id, value)
- Deterministic conflict resolution via Lamport timestamp + clone_id tiebreaker

### 3. Operation Log
Track all operations as CRDT ops:
- CREATE(uuid, timestamp, clone_id, fields)
- UPDATE(uuid, field, timestamp, clone_id, value)
- DELETE(uuid, timestamp, clone_id) - tombstone, not hard delete

### 4. Sync as Merge
Syncing becomes merging two CRDT states:
- No merge conflicts possible
- Deterministic merge function
- Guaranteed convergence

## Implementation Phases

### Phase 1: Research & Design (4 weeks)
- Study existing CRDT implementations (Automerge, Yjs, Loro)
- Design schema for CRDT-based issue tracking
- Prototype LWW-based Issue CRDT
- Benchmark performance vs current system

### Phase 2: Parallel Implementation (6 weeks)
- Implement CRDT storage layer alongside SQLite
- Build conversion tools: SQLite ↔ CRDT
- Maintain backward compatibility with v1.x format
- Migration path for existing databases

### Phase 3: Testing & Validation (4 weeks)
- Formal verification of convergence properties
- Stress testing with 100+ clone scenario
- Performance profiling and optimization
- Documentation and examples

### Phase 4: Migration & Rollout (4 weeks)
- Release v2.0-beta with CRDT backend
- Gradual migration from v1.x
- Monitoring and bug fixes
- Final v2.0 release

## Risks & Mitigations

**Risk 1: Performance overhead**
- Mitigation: Benchmark early, optimize hot paths
- CRDTs can be slower than append-only logs
- May need compaction strategy

**Risk 2: Storage bloat**
- Mitigation: Implement operation log compaction
- Tombstone garbage collection for deleted issues
- Periodic snapshots to reduce log size

**Risk 3: Breaking changes**
- Mitigation: Maintain v1.x compatibility layer
- Gradual migration tools
- Dual-mode operation during transition

**Risk 4: Complexity**
- Mitigation: Use battle-tested CRDT libraries
- Comprehensive documentation
- Clear migration guide

## Success Criteria
- 100-clone collision test passes without failures
- Formal proof of convergence properties
- Performance within 2x of current system
- Zero manual conflict resolution required
- Backward compatible with v1.x databases

## Timeline
18-20 weeks total (4-5 months)

## References
- Automerge: https://automerge.org
- Yjs: https://docs.yjs.dev
- Loro: https://loro.dev
- CRDT theory: Shapiro et al, A comprehensive study of CRDTs
- Related issues: bd-e6d71828, bd-7a2b58fc,-1


Unit tests for Debouncer

Test debouncer batches multiple triggers into single action. Test timer reset on subsequent triggers. Test cancel during wait. Test thread safety.


Add mermaid output format for bd dep tree

Add visual dependency graph output using Mermaid format for better visualization of issue relationships.

Example usage:
  bd dep tree --format mermaid <issue-id>
  bd dep tree --format mermaid bd-42 > graph.md

This would output Mermaid syntax that can be rendered in GitHub, documentation sites, or Mermaid live editor.

Implementation notes:
- Add --format flag to dep tree command
- Support 'text' (default) and 'mermaid' formats
- Mermaid graph should show issue IDs, titles, and dependency types
- Consider using flowchart LR or graph TD syntax


> bd sync --no-daemon
→ Exporting pending changes to JSONL...
→ Committing changes to sync branch 'beads-sync'...
Error committing to sync branch: failed to create worktree: failed to create worktree parent directory: mkdir /var/home/matt/dev/beads/fix-ci/.git: not a directory

**Problem Diagnosed**: The `bd sync` command was failing with "mkdir /var/home/matt/dev/beads/fix-ci/.git: not a directory" because it was being executed from the wrong directory.

**Root Cause**: The command was run from `/var/home/matt/dev/beads` (where the `fix-ci` worktree exists) instead of the main repository directory `/var/home/matt/dev/beads/main`. Since `fix-ci` is a git worktree with a `.git` file (not directory), the worktree creation logic failed when trying to create `<current_dir>/.git/beads-worktrees/<branch>`.

**Solution Verified**: Execute `bd sync` from the main repository directory:
```bash
cd main && bd sync --dry-run
```


Proposal workflow (propose/withdraw/accept)

Implement commands and state machine for moving issues between personal planning repos and canonical upstream repos, enabling contributors to propose work without polluting PRs.


Add security tests for WriteFile permissions in doctor command

Test coverage gap identified by automated analysis (vc-217).

**Original Issue:** [deleted:[deleted:bd-da96-baseline-lint]]

In cmd/bd/doctor/gitignore.go:98, os.WriteFile uses 0644 permissions, flagged by gosec G306 as potentially too permissive.

Add tests to verify:
- File is created with appropriate permissions (0600 or less)
- Existing file permissions are not loosened
- File ownership is correct
- Sensitive data handling if .gitignore contains secrets

This ensures .gitignore files are created with secure permissions to prevent unauthorized access.

_This issue was automatically created by AI test coverage analysis._


Add tests for performFlush error handling in FlushManager

Test coverage gap identified by automated analysis (vc-217).

**Original Issue:** [deleted:bd-da96-baseline-lint]

In cmd/bd/flush_manager.go:269, the performFlush method is flagged by unparam as always returning nil, indicating the error return value is never used.

Add tests to determine:
- Whether performFlush can actually return errors in failure scenarios
- If error return is needed, add tests for error cases (disk full, permission denied, etc.)
- If error return is not needed, refactor to remove unused return value
- Test full export vs incremental export error handling

This ensures proper error handling in the flush mechanism and removes dead code if the return value is unnecessary.

_This issue was automatically created by AI test coverage analysis._


Phase 3: Enhance daemon robustness for GH #353

Improve daemon health checks and metadata refresh to prevent staleness issues.

**Tasks:**
1. Enhance daemon health checks to detect unreachable daemons
2. Add daemon metadata refresh (check disk every 5s)
3. Comprehensive testing in sandbox environments

**Implementation:**
- cmd/bd/main.go: Better health check error handling (lines 300-367)
- cmd/bd/daemon_event_loop.go: Periodic metadata refresh
- cmd/bd/daemon_unix.go: Permission-aware process checks

**References:**
- docs/GH353_INVESTIGATION.md (Solutions 4 & 5, lines 161-209)
- Depends on: Phase 2 (bd-u3t)

**Acceptance Criteria:**
- Daemon detects when it's unreachable and auto-switches to direct mode
- Daemon picks up external import operations without restart
- All edge cases handled gracefully


bd delete bulk operations fight with auto-import/daemon causing data resurrection

When bulk deleting issues (e.g., 244 closed issues older than 24h), the process fights with auto-import and daemon infrastructure:

**Expected behavior:**
- Delete 244 issues from 468-issue database
- Export to JSONL (224 lines)
- Commit and push
- Result: 224 issues

**Actual behavior:**
- Delete 244 issues
- Import runs (from stale git JSONL with 468 issues)
- Resurrects deleted issues back into database
- Export writes 356 lines (not 224)
- Math: 468 - 244 = 224, but got 356 (132 issues resurrected)

**Root cause:**
Auto-import keeps re-importing from git during the delete operation, before the new JSONL is committed. The workflow is:
1. Delete from DB
2. Auto-import runs (reads old JSONL from git with deleted issues still present)
3. Issues come back
4. Export writes partially-deleted state

**Solution options:**
1. Add `--no-auto-import` flag to bulk delete operations
2. Atomic delete-export-commit operation that suppresses imports
3. Dedicated `bd prune` command that handles this correctly
4. Lock file to prevent auto-import during bulk mutations

**Impact:**
- Bulk cleanup operations don't work reliably
- Makes it nearly impossible to prune old closed issues
- Confusing UX (delete 244, but only 112 actually removed)

**FIXED**: Auto-import now skips during delete operations to prevent resurrection.

**Root cause confirmed**: Auto-import was running in PersistentPreRun before delete executed, causing it to re-import stale JSONL from git and resurrect deleted issues.

**Solution implemented**:
1. Added delete to skip list in main.go PersistentPreRun (alongside import and sync --dry-run)
2. Delete operations now complete atomically without auto-import interference
3. Added comprehensive test (TestBulkDeleteNoResurrection) to prevent regression

**Test verification**:
- Creates 20 issues, deletes 10
- Verifies no resurrection after delete
- Confirms JSONL has correct count (10 remaining)
- All existing tests still pass


Message System Improvements

Consolidate improvements to the bd message command including core functionality (message reading), reliability (timeouts), validation, and code quality refactoring


## Problem

bd cleanup deletes closed issues (converting them to tombstones) but does NOT prune expired tombstones. Users expect 'cleanup' to do comprehensive cleanup.

## Current Behavior

1. bd cleanup --force converts closed issues to tombstones
2. Expired tombstones (>30 days) remain in issues.jsonl
3. User must separately run bd compact to prune tombstones
4. bd doctor warns about expired tombstones: Run bd compact to prune

## Expected Behavior

bd cleanup should also prune expired tombstones from issues.jsonl.

## Impact

With v0.30.0 making tombstones the default migration path, this UX gap becomes more visible. Users cleaning up their database should not need to know about a separate bd compact command.

## Proposed Solution

Call pruneExpiredTombstones() at the end of the cleanup command (same function used by compact).

## Files to Modify

- cmd/bd/cleanup.go - Add call to pruneExpiredTombstones after deleteBatch

## Acceptance Criteria

- bd cleanup --force prunes expired tombstones after deleting closed issues
- bd cleanup --dry-run shows what tombstones would be pruned
- JSON output includes tombstone prune results


File change test issue


Audit Current Cache Usage

Understand exactly what code depends on the storage cache


Repair Commands & AI-Assisted Tooling

Add specialized repair tools to reduce agent repair burden:
1. Git merge conflicts in JSONL
2. Duplicate issues from parallel work
3. Semantic inconsistencies
4. Orphaned references

See ~/src/fred/beads/repair_commands.md for full design doc.

Reduces agent repair time from 5-10 minutes to <30 seconds per repair.


Add import.orphan_handling config option

Add configuration option to control orphan handling behavior: 'strict' (fail on missing parent, current behavior), 'resurrect' (auto-resurrect from JSONL, recommended default), 'skip' (skip orphaned issues with warning), 'allow' (import orphans without validation). Update CONFIG.md documentation.


bd doctor should detect fresh clone and recommend 'bd init'

When running `bd doctor` on a fresh clone (JSONL exists, no .db file), it should:

1. Detect this is a fresh clone situation
2. Recommend `bd init --prefix <detected-prefix>` as the fix
3. Show the prefix detected from the JSONL file

Currently it shows various warnings (git hooks, merge driver, etc.) but doesn't address the fundamental issue: the database needs to be hydrated.


Fix TestExportUpdatesMetadata to test actual daemon functions

## Problem
TestExportUpdatesMetadata (daemon_sync_test.go:296) manually replicates the metadata update logic rather than calling the fixed functions (createExportFunc/createSyncFunc).

This means:
- Test verifies the CONCEPT works
- But doesn't verify the IMPLEMENTATION in the actual daemon functions
- If daemon code is wrong, test still passes

## Current Test Flow
```go
// Test does:
exportToJSONLWithStore()  // ← Direct call
// ... manual metadata update ...
exportToJSONLWithStore()  // ← Direct call again
```

## Should Be
```go
// Test should:
createExportFunc(...)()  // ← Call actual daemon function
// ... verify metadata was updated by the function ...
createExportFunc(...)()  // ← Call again, should not fail
```

## Challenge
createExportFunc returns a closure that's run by the daemon. Testing this requires:
- Mock logger
- Proper context setup
- Git operations might need mocking

## Files
- cmd/bd/daemon_sync_test.go

## Acceptance Criteria
- Test calls actual createExportFunc and createSyncFunc
- Test verifies metadata updated by daemon code, not test code
- Both functions tested (export and sync)


getLocalSyncBranch silently ignores YAML parse errors

In autoimport.go:170-172, YAML parsing errors are silently ignored. If a user has malformed YAML in config.yaml, sync-branch will just silently be empty with no feedback.

Recommendation: Add debug logging since this function is only called during auto-import, and debugging silent failures is painful.

Add: debug.Logf("Warning: failed to parse config.yaml: %v", err)


bd sync fails with orphaned issues and duplicate ID conflict

After fixing the deleted_at TEXT column scanning bug (commit 18b1eb2), bd sync still fails with two issues:

1. Orphan Detection Warning: 12 orphaned child issues whose parents no longer exist (bd-cb64c226.* and bd-cbed9619.*)

2. Import Failure: UNIQUE constraint failed for bd-360 - this tombstone exists in both DB and JSONL

Error: "Import failed: error creating depth-0 issues: bulk insert issues: failed to insert issue bd-360: sqlite3: constraint failed: UNIQUE constraint failed: issues.id"

Fix options:
- Delete orphaned child issues with bd delete
- Resolve bd-360 duplicate (in deletions.jsonl vs tombstone in DB)
- Reset sync branch: git branch -f beads-sync main && git push --force-with-lease origin beads-sync

Fixed tombstone constraint violation bug. When deleting closed issues, the CHECK constraint (status = 'closed') = (closed_at IS NOT NULL) was violated because CreateTombstone didn't clear closed_at. Fix: set closed_at = NULL in tombstone creation SQL.

The sync data corruption (orphaned issues in beads-sync branch) requires manual cleanup: reset sync branch with 'git branch -f beads-sync main && git push --force-with-lease origin beads-sync'


Add tests for Integration Layer Implementation

While implementing bd-wfmw, noticed missing tests

Reviewed existing coverage:
- Basic test coverage exists in lib/test_beads_mail_adapter.py
- Integration tests cover failure scenarios in tests/integration/test_mail_failures.py
- Good coverage of: enabled/disabled modes, graceful degradation, 409 conflicts, HTTP errors, config
- Missing: authorization headers detail, request body structure validation, concurrent reservation timing, TTL edge cases


Improve test coverage for cmd/bd/setup (28.4% → 50%)

The setup package has only 28.4% test coverage. Setup commands are critical for first-time user experience.

Current coverage: 28.4%
Target coverage: 50%


Add database maintenance commands section to QUICKSTART.md

**Problem:**
Users don't discover `bd compact` or `bd cleanup` commands until their database grows large. These maintenance commands aren't mentioned in quickstart documentation.

Related to issue #349 item #4.

**Current state:**
docs/QUICKSTART.md ends at line 217 with "See README.md for full documentation" but has no mention of maintenance operations.

**Proposed addition:**
Add a "Database Maintenance" section after line 140 (before "Advanced: Agent Mail" section) covering:
- When database grows (many closed issues)
- How to view compaction statistics
- How to compact old issues
- How to delete closed issues
- Warning about permanence

**Example content:**
```markdown
## Database Maintenance

As your project accumulates closed issues, the database grows. Use these commands to manage size:

```bash
# View compaction statistics
bd compact --stats

# Preview compaction candidates (30+ days closed)
bd compact --analyze --json

# Apply agent-generated summary
bd compact --apply --id bd-42 --summary summary.txt

# Immediately delete closed issues (use with caution!)
bd cleanup --force
```

**When to compact:**
- Database file > 10MB with many old closed issues
- After major project milestones
- Before archiving a project phase
```

**Files to modify:**
- docs/QUICKSTART.md (add section after line 140)


Fix failing integration tests in beads-mcp

The `beads-mcp` test suite has failures in `tests/test_bd_client_integration.py` (assertion error in `test_init_creates_beads_directory`) and errors in `tests/test_worktree_separate_dbs.py` (setup failures finding database). These need to be investigated and fixed to ensure a reliable CI baseline.


Test coverage improvement initiative (47.8% → 65%)

Umbrella epic for improving overall test coverage from 47.8% to 65%+.

## Summary

| Package | Current | Target | Issue |
|---------|---------|--------|-------|
| internal/compact | 18.2% | 70% | bd-thgk |
| cmd/bd/doctor/fix | 23.9% | 50% | bd-fx7v |
| cmd/bd | 26.2% | 50% | bd-llfl |
| internal/daemon | 27.3% | 60% | bd-n386 |
| cmd/bd/setup | 28.4% | 50% | bd-sh4c |
| internal/syncbranch | 33.0% | 70% | bd-io8c |
| internal/export | 37.1% | 60% | bd-6sm6 |
| internal/lockfile | 42.0% | 60% | bd-9w3s |
| internal/rpc | 47.5% | 60% | bd-m8ro |
| internal/beads | 48.1% | 70% | bd-tvu3 |
| internal/storage | N/A | basic | bd-a15d |

## Packages with good coverage (no action needed)
- internal/types: 91.0%
- internal/utils: 88.9%
- internal/deletions: 84.3%
- internal/config: 84.2%
- internal/autoimport: 83.5%
- internal/validation: 80.8%
- internal/merge: 78.9%
- internal/routing: 74.3%
- internal/storage/sqlite: 73.1%
- internal/importer: 70.2%

Overall target: 65%+ (from current 47.8%)


Fix bd doctor --fix recursive message for deletions manifest

When running bd doctor --fix, if the deletions manifest check fails but there are no deleted issues in git history, the fix succeeds but doesn't create the file. The check then runs again and tells user to run bd doctor --fix - the same command they just ran.

Fix: Create empty deletions.jsonl when hydration finds no deletions, and recognize empty file as valid in the check.

Fixes: https://github.com/steveyegge/beads/issues/403


Clean up snapshot files after successful merge

After a successful 3-way merge and import during 'bd sync', the snapshot files (beads.base.jsonl, beads.left.jsonl, and their .meta.json files) are left in the .beads/ directory indefinitely.

These files are only needed temporarily during the merge process:
- beads.base.jsonl: snapshot from last successful import
- beads.left.jsonl: snapshot before git pull

Once the merge succeeds and the new JSONL is imported, these files serve no purpose and should be cleaned up.

Current behavior:
- sync.go:269 calls updateBaseSnapshot() after successful import
- UpdateBase() updates beads.base.jsonl to the new state
- beads.left.jsonl is never removed
- Both files accumulate in .beads/ directory

Expected behavior:
- After successful merge and import, clean up both snapshot files
- Only retain snapshots between sync operations (create on export, use during merge, clean up after import)

The cleanup logic exists (SnapshotManager.Cleanup()) but is only called on validation failures (deletion_tracking.go:48), not on success.

Discovered in vc project where stale snapshot files from Nov 8 merge were still present.


Test all core bd commands in WASM for feature parity

Comprehensive testing of bd-wasm against native bd:
- Test all CRUD operations (create, update, show, close)
- Test dependency management (dep add, dep tree)
- Test sync operations (sync, import, export)
- Verify JSONL output matches native bd
- Run existing Go test suite in WASM if possible
- Benchmark performance (should be within 2x of native)


Audit and fix JSONL filename mismatches across all repo clones

## Problem

Multiple clones of repos are configured with different JSONL filenames (issues.jsonl vs beads.jsonl), causing:
1. JSONL files to be resurrected after deletion (one clone pushes issues.jsonl, another pushes beads.jsonl)
2. Agents unable to see issues filed by other agents after sync
3. Merge conflicts and data inconsistencies

## Root Cause

When repos were "bd doctored" or initialized at different times, some got issues.jsonl (old default) and others got beads.jsonl (Beads repo specific). These clones push their respective files, creating duplicates.

## Task

Scan all repo clones under ~/src/ (1-2 levels deep) and standardize their JSONL configuration.

### Step 1: Find all beads-enabled repos

```bash
# Find all directories named 'beads' at levels 1-2 under ~/src/
find ~/src -maxdepth 2 -type d -name beads
```

### Step 2: For each repo found, check configuration

For each directory from Step 1, check:
- Does `.beads/metadata.json` exist?
- What is the `jsonl_export` value?
- What JSONL files actually exist in `.beads/`?
- Are there multiple JSONL files (problem!)?

### Step 3: Create audit report

Generate a report showing:
```
Repo Path                           | Config        | Actual Files           | Status
----------------------------------- | ------------- | ---------------------- | --------
~/src/beads                         | beads.jsonl   | beads.jsonl            | OK
~/src/dave/beads                    | issues.jsonl  | issues.jsonl           | MISMATCH
~/src/emma/beads                    | issues.jsonl  | issues.jsonl, beads.jsonl | DUPLICATE!
```

### Step 4: Determine canonical name for each repo

For repos that are the SAME git repository (check `git remote -v`):
- Group them together
- Determine which JSONL filename should be canonical (majority wins, or beads.jsonl for the beads repo itself)
- List which clones need to be updated

### Step 5: Generate fix script

Create a script that for each mismatched clone:
1. Updates `.beads/metadata.json` to use the canonical name
2. If JSONL file needs renaming: `git mv .beads/old.jsonl .beads/new.jsonl`
3. Removes any duplicate JSONL files: `git rm .beads/duplicate.jsonl`
4. Commits the change
5. Syncs: `bd sync`

### Expected Output

1. Audit report showing all repos and their config status
2. List of repos grouped by git remote (same repository)
3. Fix script or manual instructions for standardizing each repo
4. Verification that after fixes, all clones of the same repo use the same JSONL filename

### Edge Cases

- Handle repos without metadata.json (use default discovery)
- Handle repos with no git remote (standalone/local)
- Handle repos that are not git repositories
- Don't modify repos with uncommitted changes (warn instead)

### Success Criteria

- All clones of the same git repository use the same JSONL filename
- No duplicate JSONL files in any repo
- All configurations documented in metadata.json
- bd doctor passes on all repos


Feature with design

This is a description


Time-dependent tests may be flaky near TTL boundary

Several tombstone merge tests use time.Now() to create test data: time.Now().Add(-24 * time.Hour), time.Now().Add(-60 * 24 * time.Hour), etc. While these work reliably in practice (24h vs 30d TTL has large margin), they could theoretically be flaky if: 1) Tests run slowly, 2) System clock changes during test, 3) TTL constants change. Recommendation: Consider using a fixed reference time or time injection for deterministic tests. Lower priority since current margin is large. Files: internal/merge/merge_test.go:1337-1338, 1352-1353, 1548-1549, 1590-1591


bd doctor: add configuration value validation

Currently bd doctor checks for missing config files but doesn't validate config values. Add validation for: invalid priority values, malformed sync intervals, invalid branch names, unsupported storage backends, etc. This would catch misconfigurations before they cause runtime errors.


Investigate and upgrade to modernc.org/sqlite 1.39.1+

We had to pin modernc.org/sqlite to v1.38.2 due to a FOREIGN KEY constraint regression in v1.39.1 (SQLite 3.50.4).

**Issue:** [deleted:bd-47], GH #144

**Symptom:** CloseIssue fails with "FOREIGN KEY constraint failed (787)" when called via MCP/daemon, but works fine via CLI.

**Root Cause:** Unknown - likely stricter FK enforcement in SQLite 3.50.4 or modernc.org wrapper changes.

**Workaround:** Pinned to v1.38.2 (SQLite 3.49.x)

**TODO:**
1. Monitor modernc.org/sqlite releases for fixes
2. Check SQLite 3.50.5+ changelogs for FK-related fixes
3. Investigate why daemon mode fails but CLI succeeds (connection reuse? transaction isolation?)
4. Consider filing upstream issue with reproducible test case
5. Upgrade when safe


Update docs for import bug fix

Update AGENTS.md, README.md, TROUBLESHOOTING.md with import.orphan_handling config documentation. Document resurrection behavior, tombstones, config modes. Add troubleshooting section for import failures with deleted parents.


Split monolithic sqlite.go into focused files

internal/storage/sqlite/sqlite.go is 1050 lines containing initialization, 20+ CRUD methods, query building, and schema management.

Split into:
- store.go: Store struct & initialization (150 lines)
- bead_queries.go: Bead CRUD (300 lines)
- work_queries.go: Work queries (200 lines)
- stats_queries.go: Statistics (150 lines)
- schema.go: Schema & migrations (150 lines)
- helpers.go: Common utilities (100 lines)

Impact: Impossible to understand at a glance; hard to find specific functionality; high cognitive load

Effort: 6-8 hours


Clean up merge conflict artifacts in .beads directory

After resolving merge conflicts in .beads/beads.jsonl, leftover artifacts remain as untracked files:
- .beads/beads.base.jsonl
- .beads/beads.left.jsonl

These appear to be temporary files created during merge conflict resolution.

Options to fix:
1. Add these patterns to .beads/.gitignore automatically
2. Clean up these files after successful merge resolution
3. Document that users should delete them manually
4. Add a check in 'bd sync' or 'bd doctor' to detect and remove stale merge artifacts

Preferred solution: Add *.base.jsonl and *.left.jsonl patterns to .beads/.gitignore during 'bd init', and optionally clean them up automatically after successful import.


Refactor daemon local-only sync functions to reduce duplication

PR #433 added three new local-only sync functions (createLocalSyncFunc, createLocalExportFunc, createLocalAutoImportFunc) that are largely copy-paste of existing ones with git operations removed. Refactor to use a single implementation with a skipGit bool parameter or extract shared logic into helper functions to reduce ~200 lines of duplication.


Investigate TestRoutingIntegration failure

TestRoutingIntegration/maintainer_with_SSH_remote failed during pre-commit check with "expected role maintainer, got contributor".
This occurred while running `go test -short ./...` on darwin/arm64.
The failure appears unrelated to storage/sqlite changes.
Need to investigate if this is a flaky test or environmental issue.


Fix inconsistent error handling in multi-repo deletion tracking

From bd-xo6b code review: Multi-repo deletion tracking has mixed failure modes that can leave system in inconsistent state.

**Current behavior (daemon_sync.go):**
- Snapshot capture (L505-514): Hard fail → aborts sync
- Merge/prune (L575-584): Hard fail → aborts sync
- Base snapshot update (L613-619): Soft fail → logs warning, continues

**Critical problem:**
If merge fails on repo 3 of 5:
- Repos 1-2 have already merged and deleted issues (irreversible)
- Repos 3-5 are untouched
- Database is in partially-updated state
- No rollback mechanism

**Real-world scenario:**
```
Sync with repos [A, B, C]:
1. Capture snapshots A ✓, B ✓, C ✗ → ABORT (good)
2. Merge A ✓, B ✗ → ABORT but A already deleted issues (BAD - no rollback)
3. Update base A ⚠, B ⚠ → Warnings only (inconsistent with 1 & 2)
```

**Solution options:**
1. **Two-phase commit:**
   - Phase 1: Validate all repos (check files exist, readable, parseable)
   - Phase 2: Apply changes atomically (or fail entirely before any mutations)

2. **Fail-fast validation:**
   - Before any snapshot/merge operations, validate all repos upfront
   - Abort entire sync if any repo fails validation

3. **Make base snapshot update consistent:**
   - Either make it hard-fail like the others, or make all soft-fail

**Files:**
- cmd/bd/daemon_sync.go:505-514 (snapshot capture)
- cmd/bd/daemon_sync.go:575-584 (merge/prune)
- cmd/bd/daemon_sync.go:613-619 (base snapshot update)

**Recommendation:** Use option 1 (two-phase) or option 2 (fail-fast validation) + fix base snapshot inconsistency.


Git history fallback has incorrect logic for detecting deletions

## Problem

The `wasInGitHistory` function in `internal/importer/importer.go:891` returns true if the ID is found **anywhere** in git history. But finding an ID in history doesn't necessarily mean it was deleted - it could mean:

1. The issue was added (appears in a commit adding it)
2. The issue was modified (appears in commits updating it)
3. The issue was deleted (appears in a commit removing it)

The current logic incorrectly treats all three cases as 'deleted'.

## Correct Logic

`git log -S` with `--oneline` shows commits where the string was added OR removed. To detect deletion specifically:

1. ID appears in git history (was once in JSONL)
2. ID is NOT currently in JSONL

The second condition is already checked by the caller (`purgeDeletedIssues`), so technically the logic is correct in context. But the function name and doc comment are misleading.

## Fix Options

1. **Rename function** to `wasEverInJSONL` and update doc comment to clarify
2. **Add explicit check** for current JSONL state in the function itself

Option 1 is simpler and correct since caller already filters.


Refactor AGENTS.md to use external references

Suggestion to use external references (e.g., "ALWAYS REFER TO ./beads/prompt.md") instead of including all instructions directly within AGENTS.md.
Reasons:
1. Agents can follow external references.
2. Prevents context pollution/stuffing in AGENTS.md as more tools append instructions.


Proposal: Custom status states via config

Proposal to add 'custom status states' via `bd config`.
Users could define an optional issue status enum (e.g., awaiting_review, review_in_progress) in the config.
This would enable multi-step pipelines to process issues where each step correlates to a specific status.

Examples:
- awaiting_verification
- awaiting_docs
- awaiting_testing


Use -short flag in CI for PR checks

Update CI configuration to use -short flag for PR checks, run full tests nightly.

The slow tests already support testing.Short() and will be skipped.

Expected savings: ~20 seconds for PR checks (fast tests only)

Implementation:
- Update .github/workflows/ci.yml to add -short flag for PR tests
- Create/update nightly workflow for full test runs
- Update README/docs about test strategy

File: .github/workflows/ci.yml:30


Fix auto-import creating duplicates instead of updating issues

ROOT CAUSE: server_export_import_auto.go line 221 uses ResolveCollisions: true for ALL auto-imports. This is wrong.

Problem:
- ResolveCollisions is for branch merges (different issues with same ID)
- Auto-import should UPDATE existing issues, not create duplicates
- Every git pull creates NEW duplicate issues with different IDs
- Two agents ping-pong creating endless duplicates

Evidence:
- 31 duplicate groups found (bd duplicates)
- bd-236-246 are duplicates of bd-224-235
- Both agents keep pulling and creating more duplicates
- JSONL file grows endlessly with duplicates

The Fix:
Change checkAndAutoImportIfStale in server_export_import_auto.go:
- Remove ResolveCollisions: true (line 221)
- Use normal import logic that updates existing issues by ID
- Only use ResolveCollisions for explicit bd import --resolve-collisions

Impact: Critical - makes beads unusable for multi-agent workflows


Refactor check-health DB access to avoid repeated path resolution

The runCheckHealth lightweight checks (hintsDisabled, checkVersionMismatch, checkSyncBranchQuick) each have duplicated database path resolution logic. Extract a helper function to DRY this up.


Enforce daemon singleton per workspace with file locking

Agent in ~/src/wyvern discovered 4 simultaneous daemon processes running, causing infinite directory recursion (.beads/.beads/.beads/...). Each daemon used relative paths and created nested .beads/ directories.

Root cause: No singleton enforcement. Multiple `bd daemon` processes can start in same workspace.

Expected: One daemon per workspace (each workspace = separate .beads/ dir with bd.sock)
Actual: Multiple daemons can run simultaneously in same workspace

Note: Separate git clones = separate workspaces = separate daemons (correct). Git worktrees share .beads/ and have known limitations (documented, use --no-daemon).

## Fix Summary

Successfully prevented the nested .beads/.beads/ recursion bug by implementing two safeguards:

1. **Path Canonicalization in FindDatabasePath()** (beads.go):
   - Added filepath.Abs() + filepath.EvalSymlinks() to normalize all database paths
   - Prevents relative path edge cases that create nested directories
   - Ensures all daemons see the same canonical path

2. **Nested Directory Detection** (daemon_lifecycle.go):
   - Added explicit check for ".beads/.beads" pattern in setupDaemonLock()
   - Fails fast with clear error message if nested structure detected
   - Provides user hints about proper usage

## Root Cause

The daemon lock (added Oct 22, 2025) correctly prevents simultaneous daemons in the SAME workspace. However, when BEADS_DB used a relative path (e.g., ".beads/beads.db") from inside the .beads directory, FindDatabasePath() would resolve it to a nested path creating a separate workspace:
- First daemon: /workspace/.beads/beads.db
- Second daemon from .beads/: /workspace/.beads/.beads/beads.db ← Different lock file!

## Testing

All acceptance criteria passed:
✅ 1. Second daemon start fails with "daemon already running" error
✅ 2. Killing daemon releases lock, new daemon can start
✅ 3. No infinite .beads/ recursion possible (tested nested BEADS_DB path)
✅ 4. Works with auto-start mechanism

The fix addresses the edge case while maintaining the existing lock mechanism's correctness.


Fix variable shadowing in GetNextChildID resurrection code

## Problem
Minor variable shadowing in hash_ids.go:

```go
// Line 33: err declared here
err := s.db.QueryRowContext(ctx, `SELECT COUNT(*) FROM issues WHERE id = ?`, parentID).Scan(&count)

// Line 38: err reused/shadowed here
resurrected, err := s.TryResurrectParent(ctx, parentID)
```

While Go allows this, it can be confusing and some linters flag it.

## Solution
Use different variable name:

```go
resurrected, resurrectErr := s.TryResurrectParent(ctx, parentID)
if resurrectErr != nil {
    return "", fmt.Errorf("failed to resurrect parent %s: %w", parentID, resurrectErr)
}
```

## Files
- internal/storage/sqlite/hash_ids.go:38

## Priority
Low - code works correctly, just a style improvement


Update documentation for merge driver auto-config

Update documentation to reflect the new merge driver auto-configuration during `bd init`.

**Files to update:**
- README.md - Mention merge driver setup in initialization section
- AGENTS.md - Update onboarding section about merge driver
- Possibly QUICKSTART.md

**Content:**
- Explain what the merge driver does
- Show --skip-merge-driver flag usage
- Manual installation steps for post-init setup


Add AI planning docs management guidance to bd onboard (GH-196)

Enhanced bd onboard command to provide guidance for managing AI-generated planning documents (Claude slop).

Addresses GitHub issue #196: https://github.com/steveyegge/beads/issues/196

Changes:
- Added Managing AI-Generated Planning Documents section to bd onboard
- Recommends using history/ directory for ephemeral planning files
- Updated AGENTS.md to demonstrate the pattern
- Added comprehensive tests

Commit: d46177d


Switch from modernc.org/sqlite to ncruces/go-sqlite3 for WASM support

modernc.org/sqlite depends on modernc.org/libc which has no js/wasm support (platform-specific syscalls). Need to switch to ncruces/go-sqlite3 which wraps a WASM build of SQLite using wazero runtime.

Key differences:
- ncruces/go-sqlite3: Uses WASM build of SQLite + wazero runtime
- modernc.org/sqlite: Pure Go translation, requires libc for syscalls

This is a prerequisite for bd-62a0 (WASM build infrastructure).


Tombstone import creates duplicate entries when deletions.jsonl has entries already in JSONL

In the tombstone import logic (bd-dve), when a non-tombstone issue is in both JSONL and deletions.jsonl, we:
1. Skip the issue (line 149-155)
2. Create a tombstone from deletions.jsonl (lines 161-171)

This means if the JSONL contains issue 'bd-abc' (non-tombstone) and deletions.jsonl also has 'bd-abc', we skip the JSONL version but then add a tombstone version from deletions.jsonl. This is intentional but the skipped issue count may be confusing.

Consider: should we track converted-to-tombstone separately from skipped-deleted in the Result struct?


PruneDeletions iterates map non-deterministically

## Problem

`PruneDeletions` iterates over `loadResult.Records` which is a map. Go maps iterate in random order, so:

1. `result.PrunedIDs` order is non-deterministic
2. `kept` slice order is non-deterministic → `WriteDeletions` output order varies

## Location
`internal/deletions/deletions.go:213`

## Impact
- Git diffs are noisy (file changes order on each prune)
- Tests could be flaky if they depend on order
- Harder to debug/audit

## Fix
Sort by ID or timestamp before iterating:

```go
// Convert map to slice and sort
var records []DeletionRecord
for _, r := range loadResult.Records {
    records = append(records, r)
}
sort.Slice(records, func(i, j int) bool {
    return records[i].ID < records[j].ID
})
```