Issue 1


bd message: Implement full message reading functionality

The `bd message read` command is incomplete and doesn't actually fetch or display message content.

**Location:** cmd/bd/message.go:413-441

**Current Behavior:**
- Only marks message as read
- Prints placeholder text
- Doesn't fetch message body

**Expected:**
- Fetch full message from Agent Mail resource API
- Display sender, subject, timestamp, body
- Consider markdown rendering

**Blocker:** Core feature for message system MVP


Run tests to ensure refactoring didn't break anything


Remove Cache Configuration Docs

Remove documentation of deprecated cache env vars


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 programmatic tip injection API

Allow tips to be programmatically injected at runtime based on detected conditions. This enables dynamic tips (not just pre-defined ones) to be shown with custom priority and frequency.


Fix linting error in migrate.go

Linter reports error:
```
cmd/bd/migrate.go:647:37: cleanupWALFiles - result 0 (error) is always nil (unparam)
```

The `cleanupWALFiles` function always returns nil, so the error return type should be removed or the function should actually return errors when appropriate.


Wrap git operations in GitClient interface

Create internal/daemonrunner/git.go with GitClient interface (HasUpstream, HasChanges, Commit, Push, Pull). Default implementation using os/exec. Use in Syncer and Run loop for testability.


Add "bd daemons" command for multi-daemon management

Add a new "bd daemons" command with subcommands to manage daemon processes across all beads repositories/worktrees. Should show all running daemons with metadata (version, workspace, uptime, last sync), allow stopping/restarting individual daemons, auto-clean stale processes, view logs, and show exclusive lock status.


Add performance benchmarks for multi-repo hydration

The contributor-workflow-analysis.md asserts sub-second queries (line 702) and describes smart caching via file mtime tracking (Decision #4, lines 584-618), but doesn't provide concrete performance benchmarks.

VC's requirement (from VC feedback section):
- Executor polls GetReadyWork() every 5-10 seconds
- Queries must be sub-second (ideally <100ms)
- Smart caching must avoid re-parsing JSONLs on every query

Suggested performance targets to validate:
- File stat overhead: <1ms per repo
- Hydration (when needed): <500ms for typical JSONL (<25k)
- Query (from cache): <10ms
- Total GetReadyWork(): <100ms (VC's requirement)

Also test at scale:
- N=1 repo (baseline)
- N=3 repos (typical)
- N=10 repos (edge case)

These benchmarks are critical for library consumers like VC that run automated polling loops.


Add embedding generation for duplicate detection

Use embeddings for scalable duplicate detection.

Model: text-embedding-3-small (OpenAI) or all-MiniLM-L6-v2 (local)
Storage: SQLite vector extension or in-memory
Cost: ~/bin/bash.0002 per 100 issues

Much cheaper than LLM comparisons for large databases.

Files: internal/embeddings/ (new package)


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.**


Clarify .beads/.gitattributes handling in Protected Branches docs

Protected Branches docs quick start leaves untracked `.beads` directory and `.gitattributes`.
Question: Are these changes meant to be checked into the protected branch?
Need to clarify if these should be ignored or committed, or if the instructions are missing a step.


Batch test 5


Add UNIQUE constraint on external_ref column

The external_ref column should have a UNIQUE constraint to prevent multiple issues from having the same external reference. This ensures data integrity when syncing from external systems (Jira, GitHub, Linear).

Current behavior:
- Multiple issues can have the same external_ref
- GetIssueByExternalRef returns first match (non-deterministic with duplicates)

Proposed solution:
- Add UNIQUE constraint to external_ref column
- Add migration to check for and resolve existing duplicates
- Update tests to verify constraint enforcement

Related: bd-1022


Issue 2 to reopen


Add fallback to polling on watcher failure

Detect fsnotify.NewWatcher() errors and log warning. Auto-switch to polling mode with 5s ticker. Add BEADS_WATCHER_FALLBACK env var to control behavior.


Test basic bd commands in WASM (init, create, list)

Compile and verify basic bd functionality works in WASM:
- Test bd init --quiet
- Test bd create with simple issue
- Test bd list --json output
- Verify SQLite database creation and queries work
- Document any runtime issues or workarounds needed


Create config.go with config and metadata methods


Clarify exclusive lock protocol compatibility with multi-repo

The contributor-workflow-analysis.md proposes per-repo file locking (Decision #7) using flock on JSONL files. However, VC (a downstream library consumer) uses an exclusive lock protocol (vc-195, requires Beads v0.17.3+) that allows bd daemon and VC executor to coexist.

Need to clarify:
- Does the proposed per-repo file locking work with VC's existing exclusive lock protocol?
- Do library consumers like VC need to adapt their locking logic?
- Can multiple repos be locked atomically for cross-repo operations?

Context: contributor-workflow-analysis.md lines 662-681


Add index usage verification test for external_ref lookups

Currently we test that idx_issues_external_ref index exists, but we don't verify that it's actually being used by the query planner.

Proposed solution:
- Add test using EXPLAIN QUERY PLAN
- Verify that 'SEARCH TABLE issues USING INDEX idx_issues_external_ref' appears in plan
- Ensures O(1) lookup performance is maintained

Related: bd-1022
Files: internal/storage/sqlite/external_ref_test.go:260


Batch test 4


Issue 1 to reopen


Fix: --parent flag doesn't create parent-child dependency

When using `bd create --parent <id>`, the code generates a hierarchical child ID (e.g., bd-123.1) but never creates a parent-child dependency. This causes `bd epic status` to show zero children even though child issues exist.

Root cause: create.go generates child ID using store.GetNextChildID() but never calls store.AddDependency() with type parent-child.

Fix: After creating the issue when parentID is set, automatically add a parent-child dependency linking child -> parent.


Implement alias conflict resolution

Handle alias conflicts when multiple clones assign same alias to different issues.

## Scenario
```
Clone A: Creates bd-a1b2c3d4, assigns alias #42
Clone B: Creates bd-e5f6a7b8, assigns alias #42
After sync: Conflict! Which issue gets #42?
```

## Resolution Strategy: Content-Hash Ordering
Deterministic, same result on all clones:
```go
func ResolveAliasConflicts(conflicts []AliasConflict) []AliasRemapping {
    for _, conflict := range conflicts {
        // Sort by hash ID (lexicographic)
        sort.Strings(conflict.IssueIDs)

        // Winner: lowest hash ID (arbitrary but deterministic)
        winner := conflict.IssueIDs[0]

        // Losers: reassign to next available aliases
        for _, loser := range conflict.IssueIDs[1:] {
            newAlias := getNextAlias()
            remappings = append(remappings, AliasRemapping{
                IssueID:  loser,
                OldAlias: conflict.Alias,
                NewAlias: newAlias,
            })
        }
    }
    return remappings
}
```

## Detection During Import
File: internal/importer/importer.go
```go
func handleAliasConflicts(imported []Issue, existing []Issue) error {
    // Build alias map from imported issues
    aliasMap := make(map[int][]string)  // alias → issue IDs

    for _, issue := range imported {
        aliasMap[issue.Alias] = append(aliasMap[issue.Alias], issue.ID)
    }

    // Check against existing aliases
    for alias, importedIDs := range aliasMap {
        existingID := storage.GetIssueIDByAlias(alias)
        if existingID != "" {
            // Conflict! Resolve it
            allIDs := append(importedIDs, existingID)
            conflicts = append(conflicts, AliasConflict{
                Alias:    alias,
                IssueIDs: allIDs,
            })
        }
    }

    // Resolve and apply
    remappings := ResolveAliasConflicts(conflicts)
    applyAliasRemappings(remappings)
}
```

## Alternative Strategies (For Future Consideration)

### Priority-Based
```go
// Higher priority keeps alias
if issueA.Priority < issueB.Priority {
    winner = issueA
}
```

### Timestamp-Based (Last-Write-Wins)
```go
// Newer issue keeps alias
if issueA.UpdatedAt.After(issueB.UpdatedAt) {
    winner = issueA
}
```

### Manual Resolution
```bash
bd resolve-aliases --manual
# Interactive prompt for each conflict
```

## User Notification
```bash
$ bd sync
✓ Synced 5 issues
⚠ Alias conflicts resolved:
  - Issue bd-e5f6a7b8: alias changed from #42 to #100
  - Issue bd-9a8b7c6d: alias changed from #15 to #101
```

## Files to Create/Modify
- internal/storage/sqlite/alias_conflicts.go (new)
- internal/importer/importer.go (detect conflicts)
- cmd/bd/sync.go (show conflict notifications)

## Testing
- Test two clones assign same alias to different issues
- Test conflict resolution is deterministic (same on all clones)
- Test loser gets new alias
- Test winner keeps original alias
- Test multiple conflicts resolved in one import


Test FK constraint via close


Add concurrent import race condition tests

Currently no tests verify behavior when multiple clones import simultaneously with external_ref matching.

Scenarios to test:
1. Two clones import same external_ref update at same time
2. Clone A imports while Clone B updates same issue
3. Verify transaction isolation prevents corruption
4. Document expected behavior (last-write-wins vs timestamp-based)

Related: bd-1022
Files: internal/importer/external_ref_test.go


troubleshoot GH#278 daemon exits every few secs


Rapid 3


bd-hv01: Brittle string comparison breaks with JSON field reordering

## Problem
deletion_tracking.go:125 uses string comparison to detect unchanged issues:

```go
if leftLine, existsInLeft := leftIndex[id]; existsInLeft && leftLine == baseLine {
    deletions = append(deletions, id)
}
```

This breaks if:
- JSON field order changes (legal in JSON)
- Timestamps updated by import/export
- Whitespace/formatting changes
- Floating point precision varies

## Example Failure
```json
// baseLine
{"id":"bd-1","priority":1,"status":"open"}
// leftLine (same data, different order)
{"id":"bd-1","status":"open","priority":1}
```
These are semantically identical but string comparison fails.

## Fix
Parse and compare JSON semantically:
```go
func jsonEquals(a, b string) bool {
    var objA, objB map[string]interface{}
    json.Unmarshal([]byte(a), &objA)
    json.Unmarshal([]byte(b), &objB)
    return reflect.DeepEqual(objA, objB)
}
```

## Files Affected
- cmd/bd/deletion_tracking.go:125
- cmd/bd/deletion_tracking.go:134-170 (buildIDToLineMap)


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


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-0dcea000, bd-4d7fca8a, bd-6221bdcd


Test issue


Log errors from timer-triggered flushes instead of discarding


Test parent issue


Database import silently fails when daemon version != CLI version


Add validation for duplicate external_ref in batch imports

Currently, if a batch import contains multiple issues with the same external_ref, the behavior is undefined. We should detect and handle this case.

Current behavior:
- No validation for duplicate external_ref within a batch
- Last-write-wins or non-deterministic behavior

Proposed solution:
- Detect duplicate external_ref values in incoming batch
- Fail with clear error message OR
- Merge duplicates intelligently (use newest timestamp)
- Add test case for this scenario

Related: bd-1022


Test Agent Mail server failure scenarios

Verify graceful degradation across various failure modes.

Test Cases:
- Server never started
- Server crashes during operation
- Network partition (timeout)
- Server returns 500 error
- Invalid bearer token
- SQLite corruption

Acceptance Criteria:
- Agents continue working in all scenarios
- Clear log messages about degradation
- No crashes or data loss
- Beads JSONL remains consistent

File: tests/integration/test_mail_failures.py


Refactor: Move staleness check inside daemon branch

## Problem

Currently ensureDatabaseFresh() is called before the daemon mode check, but it checks daemonClient != nil internally and returns early. This is redundant.

**Location:** All read commands (list.go:196, show.go:27, ready.go:102, status.go:80, etc.)

## Current Pattern

Call happens before daemon check, function checks daemonClient internally.

## Better Pattern

Move staleness check to direct mode branch only, after daemon check.

## Impact
Low - minor performance improvement (avoids one function call per command in daemon mode)

## Effort
Medium - requires refactoring 8 command files

## Priority
Low - can defer to future cleanup PR


Integration Layer Implementation

Build the adapter layer that makes Agent Mail optional and non-intrusive.

Progress: bd-m9th (Python adapter library) completed with full test coverage. Next: bd-fzbg (update python-agent example with Agent Mail integration).


AI-supervised database migrations for safer schema evolution

## Problem

Database migrations can lose user data through edge cases that are hard to anticipate (e.g., GH #201 where bd migrate failed to set issue_prefix, or bd-d355a07d false positive data loss warnings). Since beads is designed to be run by AI agents, we should leverage AI to make migrations safer.

## Current State

Migrations run blindly with:
- No pre-flight validation
- No data integrity verification
- No rollback on failure
- Limited post-migration testing

Recent issues:
- GH #201: Migration didn't set issue_prefix config, breaking commands
- bd-d355a07d: False positive "data loss" warnings on collision resolution
- Users reported migration data loss (fixed but broader problem remains)

## Proposal: AI-Supervised Migration Framework

Use AI to supervise migrations through structured verification:

### 1. Pre-Migration Analysis
- AI reads migration code and current schema
- Identifies potential data loss scenarios
- Generates validation queries to verify assumptions
- Creates snapshot queries for before/after comparison

### 2. Migration Execution
- Take database backup/snapshot
- Run validation queries (pre-state)
- Execute migration in transaction
- Run validation queries (post-state)

### 3. Post-Migration Verification
- AI compares pre/post snapshots
- Verifies data integrity invariants
- Checks for unexpected data loss
- Validates config completeness (like issue_prefix)

### 4. Rollback on Anomalies
- If AI detects data loss, rollback transaction
- Present human-readable error report
- Suggest fix before retrying

## Example Flow

```
$ bd migrate

→ Analyzing migration plan...
→ AI identified 3 potential data loss scenarios
→ Generating validation queries...
→ Creating pre-migration snapshot...
→ Running migration in transaction...
→ Verifying post-migration state...
✓ All 247 issues accounted for
✓ Config table complete (issue_prefix: "mcp")
✓ Dependencies intact (342 relationships verified)
→ Migration successful!
```

If something goes wrong:
```
$ bd migrate

→ Analyzing migration plan...
→ AI identified issue: Missing issue_prefix config after migration
→ Recommendation: Add prefix detection step
→ Aborting migration - database unchanged
```

## Implementation Ideas

### A. Migration Validator Tool
Create `bd migrate --validate` that:
- Simulates migration on copy of database
- Uses AI to verify data integrity
- Reports potential issues before real migration

### B. Migration Test Generator
AI generates test cases for migrations:
- Edge cases (empty DB, large DB, missing config)
- Data integrity checks
- Regression tests

### C. Migration Invariants
Define invariants that AI checks:
- Issue count should not decrease (unless collision resolution)
- All required config keys present
- Foreign key relationships intact
- No orphaned dependencies

### D. Self-Healing Migrations
AI detects incomplete migrations and suggests fixes:
- Missing config values (like GH #201)
- Orphaned data
- Index inconsistencies

## Benefits

1. **Catch edge cases**: AI explores scenarios humans miss
2. **Self-documenting**: AI explains what migration does
3. **Agent-friendly**: Agents can run migrations confidently
4. **Fewer rollbacks**: Detect issues before committing
5. **Better testing**: AI generates comprehensive test suites

## Open Questions

1. Which AI model? (Fast: Haiku, Thorough: Sonnet/GPT-4)
2. How to balance safety vs migration speed?
3. Should AI validation be required or optional?
4. How to handle offline scenarios (no API access)?
5. What invariants should always be checked?

## Related Work

- bd-b245: Migration registry (makes migrations introspectable)
- GH #201: issue_prefix migration bug (motivating example)
- bd-d355a07d: False positive data loss warnings

## Progress

### ✅ Phase 1: Migration Invariants (COMPLETED)

**Implemented:**
- Created internal/storage/sqlite/migration_invariants.go with 3 invariants
- Updated RunMigrations() to verify invariants after migrations
- All tests pass ✓

### ✅ Phase 2: Inspection Tools (COMPLETED & PUSHED)

**Commit:** 1abe4e7 - "Add migration inspection tools for AI agents (bd-627d Phase 2)"

**Implemented:**
1. ✅ bd migrate --inspect --json - Shows migration plan
2. ✅ bd info --schema --json - Returns schema details
3. ✅ Migration warnings system
4. ✅ Documentation updated in AGENTS.md
5. ✅ All tests pass

### ✅ Phase 3: MCP Tools (COMPLETED & PUSHED)

**Commit:** 2493693 - "Add MCP tools for migration inspection (bd-627d Phase 3)"

**Implemented:**
1. ✅ inspect_migration(workspace_root) tool in beads-mcp
2. ✅ get_schema_info(workspace_root) tool in beads-mcp
3. ✅ Abstract methods in BdClientBase
4. ✅ CLI client implementations
5. ✅ All tests pass

**All phases complete!** Migration inspection fully integrated into MCP server.


Add unit tests for version tracking functions


Message System Improvements

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


Review and document rarely-used commands

Document use cases or consider deprecation for infrequently-used commands.

**Commands to review:**
1. bd rename-prefix - How often is this used? Document use cases
2. bd detect-pollution - Consider integrating into bd validate
3. bd migrate-hash-ids - One-time migration, keep but document as legacy

**For each command:**
- Document typical use cases
- Add examples to help text
- Consider if it should be a subcommand instead
- Add deprecation warning if appropriate

**Not changing:**
- duplicates ✓ (useful for data quality)
- repair-deps ✓ (useful for fixing broken refs)
- restore ✓ (critical for compacted issues)
- compact ✓ (performance feature)

**Deliverable:**
- Updated help text
- Documentation in ADVANCED.md
- Deprecation plan if needed


Improve CheckStaleness error handling

## Problem

CheckStaleness returns 'false' (not stale) for multiple error conditions instead of returning errors. This masks problems.

**Location:** internal/autoimport/autoimport.go:253-285

## Edge Cases That Return False

1. **Invalid last_import_time format** (line 259-262)
2. **No JSONL file found** (line 267-277)
3. **JSONL stat fails** (line 279-282)

## Fix

Return errors for abnormal conditions:

```go
lastImportTime, err := time.Parse(time.RFC3339, lastImportStr)
if err != nil {
    return false, fmt.Errorf("corrupted last_import_time: %w", err)
}

if jsonlPath == "" {
    return false, fmt.Errorf("no JSONL file found")
}

stat, err := os.Stat(jsonlPath)
if err != nil {
    return false, fmt.Errorf("cannot stat JSONL: %w", err)
}
```

## Impact
Medium - edge cases are rare but should be handled

## Effort
30 minutes - requires updating callers in RPC server


Performance Validation

Confirm no performance regression from cache removal


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


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.

## Implementation Progress

**Completed:**
1. ✅ Mutation events infrastructure (bd-143 equivalent)
   - MutationEvent channel in RPC server
   - Events emitted for all write operations: create, update, close, label add/remove, dep add/remove, comment add
   - Non-blocking emission with dropped event counter

2. ✅ FileWatcher with fsnotify (bd-b0c7f7ef related)
   - Watches .beads/issues.jsonl and .git/refs/heads
   - 500ms debounce
   - Polling fallback if fsnotify unavailable

3. ✅ Debouncer (bd-144 equivalent)
   - 500ms debounce for both export and import triggers
   - Thread-safe trigger/cancel

4. ✅ Separate export-only and import-only functions
   - createExportFunc(): exports + optional commit/push (no pull/import)
   - createAutoImportFunc(): pull + import (no export)
   - Target latency <500ms achieved by avoiding full sync

5. ✅ Dropped events safety net (bd-eef03e0a related)
   - Atomic counter tracks dropped mutation events
   - 60-second health check triggers export if events were dropped
   - Prevents silent data loss from event storms

**Still Needed:**
- Platform-specific tests (bd-69bce74a)
- Integration test for mutation→export latency (bd-140)
- Unit tests for FileWatcher (bd-b0c7f7ef)
- Unit tests for Debouncer (bd-144)
- Event storm stress test (bd-eef03e0a)
- Documentation update (bd-142)

**Next Steps:**
Add comprehensive test coverage before enabling events mode by default.


Refactor sqlite.go into focused modules

Split sqlite.go (2,298 lines) into focused modules: migrations.go, ids.go, issues.go, events.go, dirty.go, db.go. This will improve maintainability and reduce cognitive load.


Investigation & Proof of Concept

Validate that MCP Agent Mail works as expected and delivers promised benefits before committing to full integration.

POC completed successfully:
✅ bd-muls: Server installed and tested
✅ bd-27xm: MCP tool execution issues resolved
✅ [deleted:bd-6hji]: File reservation collision prevention validated
✅ bd-htfk: Latency benchmarking shows 20-50x improvement
✅ bd-pmuu: ADR 002 created documenting integration decision

Results validate Agent Mail benefits:
- Collision prevention works (exclusive file reservations)
- Latency: <100ms (vs 2000-5000ms git sync)
- Lightweight deployment (<50MB memory)
- Optional/non-intrusive integration approach validated

Next: bd-wfmw (Integration Layer Implementation)


Code Review Sweep: thorough

Perform thorough code review sweep based on accumulated activity.

**AI Reasoning:**
Significant code volume added (150,273 lines) across multiple critical areas, including cmd/bd, internal/storage/sqlite, and internal/rpc. High file change count (616) indicates substantial refactoring or new functionality. The metrics suggest potential for subtle architectural or implementation issues that warrant review.

**Scope:** thorough
**Target Areas:** cmd/bd, internal/storage/sqlite, internal/rpc
**Estimated Files:** 12
**Estimated Cost:** $5

**Task:**
Review files for non-obvious issues that agents miss during focused work:
- Inefficiencies (algorithmic, resource usage)
- Subtle bugs (race conditions, off-by-one, copy-paste)
- Poor patterns (coupling, complexity, duplication)
- Missing best practices (error handling, docs, tests)
- Unnamed anti-patterns

File discovered issues with detailed reasoning and suggestions.


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 tests for Comments API (AddIssueComment, GetIssueComments)

Comments API currently has 0% coverage. Need tests for:
- AddIssueComment - adding comments to issues
- GetIssueComments - retrieving comments
- Comment ordering and pagination
- Edge cases (non-existent issues, empty comments)


Fix validatePreExport to use content hash instead of mtime

validatePreExport() in integrity.go:70 still uses isJSONLNewer() (mtime-based), creating inconsistent behavior. Auto-import correctly uses hasJSONLChanged() (hash-based) but export validation still uses the old mtime approach. This can cause false positive blocks after git operations.

Fix: Replace isJSONLNewer() call with hasJSONLChanged() in validatePreExport().

Impact: Without this fix, the bd-khnb solution is incomplete - we prevent resurrection but still have export blocking issues.


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


MCP server: "No workspace set" and "chunk longer than limit" errors

Two related errors reported in beads-mcp v0.21:

**Error 1: "No workspace set" after successful set_context**
```
✓ Set beads context
✗ list
  Error calling tool 'list': No workspace set. Either provide workspace_root
  parameter or call set_context() first.
```

Hypothesis: Environment variable persistence issue between MCP tool calls, or ContextVar not being set correctly by @with_workspace decorator.

**Error 2: "Separator is found, but chunk is longer than limit"**
```
✗ list
  Error calling tool 'list': Separator is found, but chunk is longer than limit
```

Hypothesis: MCP protocol output size limit exceeded. Large issue databases may produce JSON output that exceeds MCP stdio buffer limits.

Platform: Fedora 43, using copilot-cli with Sonnet 4.5

Workaround: CLI works fine (`bd list --status open --json`)

## Fixes Implemented

**Issue 1: "No workspace set" after successful set_context** ✅ FIXED

Root cause: os.environ doesn't persist across MCP tool calls. When set_context() set BEADS_WORKING_DIR in os.environ, that change was lost on the next tool call.

Solution:
- Added module-level _workspace_context dict for persistent storage (server.py:51)
- Modified set_context() to store in both persistent dict and os.environ (server.py:265-287)
- Modified with_workspace() decorator to check persistent context first (server.py:129-133)
- Updated where_am_i() to check persistent context (server.py:302-330)

**Issue 2: "chunk longer than limit"** ✅ FIXED

Root cause: MCP stdio protocol has buffer limits. Large issue lists with full dependencies/dependents exceed this.

Solution:
- Reduced default list limit from 50 to 20 (server.py:356, models.py:122)
- Reduced max list limit from 1000 to 100 (models.py:122)
- Strip dependencies/dependents from list() and ready() responses (server.py:343-350, 368-373)
- Full dependency details still available via show() command

## Testing

✅ Python syntax validated with py_compile
✅ Changes are backward compatible
✅ Persistent context falls back to os.environ for compatibility

Users should now be able to call set_context() once and have it persist across all subsequent tool calls. Large databases will no longer cause buffer overflow errors.


Create backup and restore procedures

Disaster recovery procedures for Agent Mail data.

Acceptance Criteria:
- Automated daily snapshots (GCP persistent disk)
- SQLite backup script
- Git repository backup
- Restore procedure documentation
- Test restore from backup

File: deployment/agent-mail/backup.sh


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


Add .beads/README.md during 'bd init' for project documentation and promotion

When 'bd init' is run, automatically generate a .beads/README.md file that:

1. Briefly explains what Beads is (AI-native issue tracking that lives in your repo)
2. Links to the main repository: https://github.com/steveyegge/beads
3. Provides a quick reference of essential commands:
   - bd create: Create new issues
   - bd list: View all issues
   - bd update: Modify issue status/details
   - bd show: View issue details
   - bd sync: Sync with git remote
4. Highlights key benefits for AI coding agents and developers
5. Encourages developers to try it out

The README should be enthusiastic and compelling to get open source contributors excited about using Beads for their AI-assisted development workflows.


Baseline quality gate failure: lint

The lint quality gate is failing on the baseline (main branch).

This blocks the executor from claiming work until fixed.

Error: golangci-lint failed: exit status 1

Output:
```
cmd/bd/search.go:39:12: Error return value of `cmd.Help` is not checked (errcheck)
			cmd.Help()
			        ^
cmd/bd/clean.go:118:15: G304: Potential file inclusion via variable (gosec)
	file, err := os.Open(gitignorePath)
	             ^
cmd/bd/doctor/gitignore.go:98:12: G306: Expect WriteFile permissions to be 0600 or less (gosec)
	if err := os.WriteFile(gitignorePath, []byte(GitignoreTemplate), 0644); err != nil {
	          ^
cmd/bd/merge.go:121:16: G204: Subprocess launched with variable (gosec)
			gitRmCmd := exec.Command("git", "rm", "-f", "--quiet", fullPath)
			            ^
cmd/bd/doctor.go:167:20: `cancelled` is a misspelling of `canceled` (misspell)
		fmt.Println("Fix cancelled.")
		                 ^
cmd/bd/flush_manager.go:139:42: `cancelling` is a misspelling of `canceling` (misspell)
		// Send shutdown request FIRST (before cancelling context)
		                                       ^
cmd/bd/flush_manager.go:261:15: `cancelled` is a misspelling of `canceled` (misspell)
			// Context cancelled (shouldn't normally happen)
			           ^
cmd/bd/flush_manager.go:269:55: (*FlushManager).performFlush - result 0 (error) is always nil (unparam)
func (fm *FlushManager) performFlush(fullExport bool) error {
                                                      ^
8 issues:
* errcheck: 1
* gosec: 3
* misspell: 3
* unparam: 1

```


Implement bd migrate command

Add bd migrate command to move issues between repos with filtering. Should support: filtering by status/priority/labels, dry-run mode, preserving dependencies, handling source_repo field updates.


bd-hv01: Add comprehensive edge case tests for deletion tracking

Need to add tests for: corrupted snapshot file, stale snapshot (> 1 hour), concurrent sync operations (daemon + manual), partial deletion failure, empty remote JSONL, multi-repo mode with deletions, git worktree scenario.

Also refine TestDeletionWithLocalModification to check for specific conflict error instead of accepting any error.

Files: cmd/bd/deletion_tracking_test.go


GetNextChildID doesn't attempt parent resurrection from JSONL history

When creating a child issue with --parent flag, GetNextChildID fails immediately if parent doesn't exist in DB, without attempting to resurrect it from JSONL history. This breaks the intended resurrection workflow and causes 'parent issue X does not exist' errors even when the parent exists in JSONL.

Related to GH #334 and #278.

Current behavior:
- GetNextChildID checks if parent exists in DB
- If not found, returns error immediately
- No resurrection attempt

Expected behavior:
- GetNextChildID should call TryResurrectParent before failing
- Parent should be restored as tombstone if found in JSONL history
- Child creation should succeed if resurrection succeeds

Impact: Users cannot create child issues for parents that were deleted but exist in JSONL history.


Create comments.go with comment methods


Create tip system infrastructure for contextual hints

Implement a tip/hint system that shows helpful contextual messages after successful commands. This is different from the existing error-path "Hint:" messages - tips appear on success paths to educate users about features they might not know about.


Add ON DELETE CASCADE to child_counters schema

Update schema.go child_counters table foreign key with ON DELETE CASCADE. When parent deleted, child counter should also be deleted. If parent is resurrected, counter gets recreated from scratch. Add migration for existing databases.


bd-hv01: Deletion tracking production readiness

Epic to track all improvements and fixes needed to make the deletion tracking implementation ([deleted:bd-hv01]) production-ready.

The core 3-way merge algorithm is sound, but there are critical issues around atomicity, error handling, and edge cases that need to be addressed before this can be safely used in production.

Critical path (P1):
- Non-atomic snapshot operations
- Brittle JSON string comparison
- Silent partial deletion failures
- Race conditions in concurrent scenarios

Follow-up work (P2-P3):
- Test coverage for edge cases and multi-repo mode
- Performance optimizations
- Code refactoring and observability

Related commit: 708a81c


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.


Update JSONL format to use hash IDs

Update JSONL import/export to use hash IDs, store aliases separately.

## Current JSONL Format
```jsonl
{"id":"bd-1c63eb84","title":"Fix bug","status":"open",...}
{"id":"bd-9063acda","title":"Add test","status":"open",...}
```

## New JSONL Format (Option A: Include Alias)
```jsonl
{"id":"bd-af78e9a2","alias":1,"title":"Fix bug","status":"open",...}
{"id":"bd-e5f6a7b8","alias":2,"title":"Add test","status":"open",...}
```

## New JSONL Format (Option B: Hash ID Only)
```jsonl
{"id":"bd-af78e9a2","title":"Fix bug","status":"open",...}
{"id":"bd-e5f6a7b8","title":"Add test","status":"open",...}
```

Store aliases in separate .beads/aliases.jsonl (local only, git-ignored):
```jsonl
{"hash":"bd-af78e9a2","alias":1}
{"hash":"bd-e5f6a7b8","alias":2}
```

**Recommendation**: Option B (hash only in main JSONL)
- Cleaner git diffs (no alias conflicts)
- Aliases are workspace-local preference
- Main JSONL is canonical, portable

## Export Changes
File: cmd/bd/export.go
```go
// Export issues with hash IDs
for _, issue := range issues {
    json := marshalIssue(issue)  // Uses issue.ID (hash)
    // Don't include alias in JSONL
}

// Separately export aliases to .beads/aliases.jsonl
exportAliases(issues)
```

## Import Changes
File: cmd/bd/import.go, internal/importer/importer.go
```go
// Import issues by hash ID
issue := unmarshalIssue(line)
// Assign new alias on import (don't use incoming alias)
issue.Alias = getNextAlias()

// No collision detection needed! Hash IDs are globally unique
```

## Dependency Reference Format
No change needed - already uses issue IDs:
```json
{"depends_on_id":"bd-af78e9a2","type":"blocks"}
```

## Files to Modify
- cmd/bd/export.go (use hash IDs)
- cmd/bd/import.go (import hash IDs, assign aliases)
- internal/importer/importer.go (remove collision detection!)
- .gitignore (add .beads/aliases.jsonl)

## Testing
- Test export produces hash IDs
- Test import assigns new aliases
- Test dependencies preserved with hash IDs
- Test no collision detection triggered


Refactor cmd/bd/daemon.go for testability and maintainability


Export deduplication breaks when JSONL and export_hashes table diverge

## Problem

The export deduplication feature (timestamp-only skipping) breaks when the JSONL file and export_hashes table get out of sync, causing exports to skip issues that aren't actually in the file.

## Symptoms

- `bd export` reports "Skipped 128 issue(s) with timestamp-only changes"
- JSONL file only has 38 lines but DB has 149 issues
- export_hashes table has 149 entries
- Auto-import doesn't trigger (hash matches despite missing data)
- Two repos on same commit show different issue counts

## Root Cause

shouldSkipExport() in autoflush.go compares current issue hash with stored export_hashes entry. If they match, it skips export assuming the issue is already in the JSONL.

This assumption fails when:
1. Git operations (pull, reset, checkout) change JSONL without clearing export_hashes
2. Manual JSONL edits or corruption
3. Import operations that modify DB but don't update export_hashes
4. Partial exports that update export_hashes but don't complete

## Impact

- **Critical data loss risk**: Issues appear to be tracked but aren't persisted to git
- Breaks multi-repo sync (root cause of today's debugging session)
- Auto-import fails to detect staleness (hash matches despite missing data)
- Silent data corruption (no error messages, just missing issues)

## Reproduction

1. Have DB with 149 issues, all in export_hashes table
2. Truncate JSONL to 38 lines (simulate git reset or corruption)
3. Run `bd export` - it skips 128 issues
4. JSONL still has only 38 lines but export thinks it succeeded

## Current Workaround

```bash
sqlite3 .beads/beads.db "DELETE FROM export_hashes"
bd export -o .beads/beads.jsonl
```

## Proposed Solutions

**Option 1: Verify JSONL integrity before skipping**
- Count lines in JSONL, compare with export_hashes count
- If mismatch, clear export_hashes and force full export
- Safe but adds I/O overhead

**Option 2: Hash-based JSONL validation**
- Store hash of entire JSONL file in metadata
- Before export, check if JSONL hash matches
- If mismatch, clear export_hashes
- More efficient, detects any JSONL corruption

**Option 3: Disable timestamp-only deduplication**
- Remove the feature entirely
- Always export all issues
- Simplest and safest, but creates larger git commits

**Option 4: Clear export_hashes on git operations**
- Add post-merge hook to clear export_hashes
- Clear on any import operation
- Defensive approach but may over-clear

## Recommended Fix

Combination of Options 2 + 4:
1. Store JSONL file hash in metadata after export
2. Check hash before export, clear export_hashes if mismatch
3. Clear export_hashes on import operations
4. Add `bd validate` check for JSONL/export_hashes sync

## Files Involved

- cmd/bd/autoflush.go (shouldSkipExport)
- cmd/bd/export.go (export with deduplication)
- internal/storage/sqlite/metadata.go (export_hashes table)

## Recovery Session (2025-10-29 21:30)

### What Happened
- Created 14 new hash ID issues (bd-f8b764c9 through bd-f8b764c9.1)
- bd sync appeared to succeed
- Canonical repo (~/src/beads): 162 issues in DB + JSONL ✓
- Secondary repo (fred/beads): Only 145 issues vs 162 in canonical ✗
- Both repos on same git commit but different issue counts!

### Bug Manifestation During Recovery

1. **Initial state**: fred/beads had 145 issues, 145 lines in JSONL, 145 export_hashes entries

2. **After git reset --hard origin/main**:
   - JSONL: 162 lines (from git)
   - DB: 150 issues (auto-import partially worked)
   - Auto-import failed with UNIQUE constraint error

3. **After manual import --resolve-collisions**:
   - DB: 160 issues
   - JSONL: Still 162 lines
   - export_hashes: 159 entries

4. **After bd export**:
   - **JSONL reduced to 17 lines!** ← The bug in action
   - export_hashes: 159 entries (skipped exporting 142 issues)
   - Silent data loss - no error message

5. **After clearing export_hashes and re-export**:
   - JSONL: 159 lines (missing 3 issues still)
   - DB: 159 issues
   - Still diverged from canonical

### The Bug Loop
Once export_hashes and JSONL diverge:
- Export skips issues already in export_hashes
- But those issues aren't actually in JSONL
- This creates corrupt JSONL with missing issues
- Auto-import can't detect the problem (file hash matches what was exported)
- Data is lost with no error messages

### Recovery Solution
Couldn't break the loop with export alone. Had to:
1. Copy .beads/beads.db from canonical repo
2. Clear export_hashes
3. Full re-export
4. Finally converged to 162 issues

### Key Learnings

1. **The bug is worse than we thought**: It can create corrupt exports (17 lines instead of 162!)

2. **Auto-import can't save you**: Once export is corrupt, auto-import just imports the corrupt data

3. **Silent failure**: No warnings, no errors, just missing issues

4. **Git operations trigger it**: git reset, git pull, etc. change JSONL without clearing export_hashes

5. **Import operations populate export_hashes**: Even manual imports update export_hashes, setting up future export failures

### Immediate Action Required

**DISABLE EXPORT DEDUPLICATION NOW**

This feature is fundamentally broken and causes data loss. Should be disabled until properly fixed.

Quick fix options:
- Set environment variable to disable feature
- Comment out shouldSkipExport check
- Always clear export_hashes before export
- Add validation that DB count == JSONL line count before allowing export

### Long-term Fix

Need Option 2 + 4 from proposed solutions:
1. Store JSONL file hash after every successful export
2. Before export, verify JSONL hash matches expected
3. If mismatch, log WARNING and clear export_hashes
4. Clear export_hashes on every import operation
5. Add git post-merge hook to clear export_hashes
6. Add `bd validate` command to detect divergence


Add bd doctor --fix flag to automatically repair issues

Implement a --fix flag for bd doctor that can automatically repair detected issues.

Requirements:
- Add --fix flag to bd doctor command
- Show all fixable issues and prompt for confirmation before applying fixes
- Organize fix implementations under doctor/fix/<type_of_fix>.go
- Each fix type should have its own file (e.g., doctor/fix/hooks.go, doctor/fix/sync.go)
- Display what will be fixed and ask user to confirm (Y/n) before proceeding
- Support fixing issues like:
  - Missing or broken git hooks
  - Sync problems with remote
  - File permission issues
  - Any other auto-repairable issues doctor detects

Implementation notes:
- Maintain separation between detection (existing doctor code) and repair (new fix code)
- Each fix should be idempotent and safe to run multiple times
- Provide clear output about what was fixed
- Log any fixes that fail with actionable error messages


RPC fast-fail: stat socket before dial, cap timeouts to 200ms

Eliminate 5s delay when daemon socket is missing by:
1. Add os.Stat(socketPath) check before dialing in TryConnect
2. Return (nil, nil) immediately if socket doesn't exist
3. Set default dial timeout to 200ms in TryConnect
4. Keep TryConnectWithTimeout for explicit health/status checks (1-2s)

This prevents clients from waiting through full timeout when no daemon is running.


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.


bd show --json doesn't include dependency type field

Fix GitHub issue #202. The JSON output from bd show and bd list commands should include the dependency type field (and optionally created_at, created_by) to match internal storage format and enable better tooling integration.

PR #203 updated with cleaner implementation: https://github.com/steveyegge/beads/pull/203

## Final Implementation

Cleanest possible approach - no internal helper methods needed:

**Design:**
- `GetDependenciesWithMetadata()` / `GetDependentsWithMetadata()` - canonical implementations with full SQL query
- `GetDependencies()` / `GetDependents()` - thin wrappers that strip metadata for backward compat
- `scanIssuesWithDependencyType()` - shared helper for scanning rows with dependency type

**Benefits:**
- Single source of truth - the `...WithMetadata()` methods ARE the implementation
- Eliminated ~139 lines of duplicated SQL and scanning code
- All tests passing (14 dependency-related tests)
- Backward compatible
- dependency_type field appears correctly in JSON output

**Note on scan helpers:**
The duplication between `scanIssues()` and `scanIssuesWithDependencyType()` is necessary because they handle different SQL result shapes (16 vs 17 columns). This is justified as they serve fundamentally different purposes based on query structure.


Centralize error handling patterns in storage layer

80+ instances of inconsistent error handling across sqlite.go with mix of %w, %v, and no wrapping.

Location: internal/storage/sqlite/sqlite.go (throughout)

Problem:
- Some use fmt.Errorf("op failed: %w", err) - correct wrapping
- Some use fmt.Errorf("op failed: %v", err) - loses error chain
- Some return err directly - no context
- Hard to debug production issues
- Can't distinguish error types

Solution: Create internal/storage/sqlite/errors.go:
- Define sentinel errors (ErrNotFound, ErrInvalidID, etc.)
- Create wrapDBError(op string, err error) helper
- Convert sql.ErrNoRows to ErrNotFound
- Always wrap with operation context

Impact: Lost error context; inconsistent messages; hard to debug

Effort: 5-7 hours


Pre-push hook and daemon export produce different JSONL

After committing and pushing, git status shows .beads/beads.jsonl as dirty. Investigation shows:

1. Pre-push hook ran successfully and exported DB → JSONL
2. Push completed
3. Shortly after, daemon exported DB → JSONL again with different content
4. Diff shows comments added to old issues (bd-23a8, bd-6049, bd-87a0)

Timeline:
- Commit c731c45 "Update beads JSONL"
- Pre-push hook exported JSONL
- Push succeeded
- Daemon PID 33314 exported again with different content

Questions:
1. Did someone run a command between commit and daemon export?
2. Is there a timing issue where pre-push hook doesn't capture all DB changes?
3. Should pre-commit hook flush daemon changes before committing?

The comments appear to be from Nov 5 (created_at: 2025-11-05T08:38:46Z) but are only appearing in JSONL now. This suggests the DB had these comments but they weren't exported during pre-push.

Possible causes:
- Pre-push hook uses BEADS_NO_DAEMON=1 which might skip pending writes
- Daemon has unflushed changes in memory
- Race condition between pre-push export and daemon's periodic export

Improved fix based on oracle code review:
1. Pre-push now flushes pending changes first (prevents debounce race)
2. Uses git status --porcelain to catch all change types
3. Handles both beads.jsonl and issues.jsonl
4. Works even if bd not installed (git-only check)


Audit Current Cache Usage

Understand exactly what code depends on the storage cache

AUDIT COMPLETE

getStorageForRequest() callers: 17 production + 11 test
- server_issues_epics.go: 8 calls
- server_labels_deps_comments.go: 4 calls
- server_export_import_auto.go: 2 calls
- server_compact.go: 2 calls
- server_routing_validation_diagnostics.go: 1 call
- server_eviction_test.go: 11 calls (DELETE entire file)

Pattern everywhere: store, err := s.getStorageForRequest(req) → store := s.storage

req.Cwd usage: Only for multi-repo routing. Local daemon always serves 1 repo, so routing is unused.

MCP server: Uses separate daemons per repo (no req.Cwd usage found). NOT affected by cache removal.

Cache env vars to deprecate:
- BEADS_DAEMON_MAX_CACHE_SIZE (used in server_core.go:63)
- BEADS_DAEMON_CACHE_TTL (used in server_core.go:72)
- BEADS_DAEMON_MEMORY_THRESHOLD_MB (used in server_cache_storage.go:47)

Server struct fields to remove:
- storageCache, cacheMu, maxCacheSize, cacheTTL, cleanupTicker, cacheHits, cacheMisses

Tests to delete:
- server_eviction_test.go (entire file - 9 tests)
- limits_test.go cache assertions

Special consideration: ValidateDatabase endpoint uses findDatabaseForCwd() outside cache. Verify if used, then remove or inline.

Safe to proceed with removal - cache always had 1 entry in local daemon model.


Test issue 2


bd delete fails to find closed issues

## Steps to Reproduce
1. Close some issues with `bd close`
2. Try to delete them with `bd delete <ids> --force`
3. Get error "issues not found"

## Expected Behavior
Should delete the closed issues

## Actual Behavior
```
Error: issues not found: bd-74ee, bd-9b13, bd-72w, bd-149, bd-5iv, bd-78w
```

But `bd list --status closed --json` shows they exist.

## Root Cause
Likely the delete command is only looking for open issues, or there's a race condition with auto-import.


Add security tests for file path validation in clean command

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

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

In cmd/bd/clean.go:118, os.Open(gitignorePath) is flagged by gosec G304 for potential file inclusion via variable without validation.

Add tests covering:
- Path traversal attempts (../../etc/passwd)
- Absolute paths outside project directory
- Symlink following behavior
- Non-existent file handling
- Validation that only .gitignore files in valid locations are opened

This is a security-sensitive code path that needs validation to prevent unauthorized file access.

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


Fix TestFallbackToDirectModeEnablesFlush deadlock causing 10min test timeout

## Problem

TestFallbackToDirectModeEnablesFlush in direct_mode_test.go deadlocks for 9m59s before timing out, causing the entire test suite to take 10+ minutes instead of <10 seconds.

## Root Cause

Database lock contention between test cleanup and flushToJSONL():
- Test cleanup (line 36) tries to close DB via defer
- flushToJSONL() (line 132) is still accessing DB
- Results in deadlock: database/sql.(*DB).Close() waits for mutex while GetJSONLFileHash() holds it

## Stack Trace Evidence

```
goroutine 512 [sync.Mutex.Lock, 9 minutes]:
database/sql.(*DB).Close(0x14000643790)
  .../database/sql/sql.go:927 +0x84
github.com/steveyegge/beads/cmd/bd.TestFallbackToDirectModeEnablesFlush.func1()
  .../direct_mode_test.go:36 +0xf4

While goroutine running flushToJSONL() holds DB connection via GetJSONLFileHash()
```

## Impact

- Test suite: 10+ minutes → should be <10 seconds
- ALL other tests pass in ~4 seconds
- This ONE test accounts for 99.9% of test runtime

## Related

This is the EXACT same issue documented in MAIN_TEST_REFACTOR_NOTES.md for why main_test.go refactoring was deferred - global state manipulation + DB cleanup = deadlock.

## Fix Approaches

1. **Add proper cleanup sequencing** - stop flush goroutines BEFORE closing DB
2. **Use test-specific DB lifecycle** - ensure flush completes before cleanup
3. **Mock the flush mechanism** - avoid real DB for testing this code path
4. **Add explicit timeout handling** - fail fast with clear error instead of hanging

## Files

- cmd/bd/direct_mode_test.go:36-132
- cmd/bd/autoflush.go:353 (validateJSONLIntegrity)
- cmd/bd/autoflush.go:508 (flushToJSONLWithState)

## Acceptance

- Test passes without timeout
- Test suite completes in <10 seconds
- No deadlock between cleanup and flush operations


Feature with design

This is a description


Fix TestTwoCloneCollision to compare content not timestamps

The test at beads_twoclone_test.go:204-207 currently compares full JSON output including timestamps, causing false negative failures.

Current behavior:
- Both clones converge to identical semantic content
- Clone A: test-2="Issue from clone A", test-1="Issue from clone B"
- Clone B: test-1="Issue from clone B", test-2="Issue from clone A"
- Titles match IDs correctly, no data corruption
- Only timestamps differ (expected and acceptable)

Fix needed:
- Replace exact JSON comparison with content-aware comparison
- Normalize or ignore timestamp fields when asserting convergence
- Test should PASS after this fix

This blocks completion of bd-71107098.


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


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


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)


Fix goroutine leak in daemon restart

Fire-and-forget goroutine in daemon restart leaks on every restart.

Location: cmd/bd/daemons.go:251

Problem:
go func() { _ = daemonCmd.Wait() }()

- Spawns goroutine without timeout or cancellation
- If daemon command never completes, goroutine leaks forever
- Each daemon restart leaks one more goroutine

Solution: Add timeout and cleanup:
go func() {
    done := make(chan struct{})
    go func() {
        _ = daemonCmd.Wait()
        close(done)
    }()

    select {
    case <-done:
        // Exited normally
    case <-time.After(10 * time.Second):
        // Timeout - daemon should have forked by now
        _ = daemonCmd.Process.Kill()
    }
}()

Impact: Goroutine leak on every daemon restart

Effort: 2 hours


Improve internal/daemon test coverage (currently 22.5%)

Daemon functionality needs better coverage:
- Auto-start behavior
- Lock file management
- Discovery mechanisms
- Connection handling
- Error recovery

Current coverage: 58.3% (improved from 22.5% as of Nov 2025)


Add functional tests for FlushManager correctness verification


Extract SQLite migrations into separate files

The file `internal/storage/sqlite/sqlite.go` is 2,136 lines and contains 11 sequential migrations alongside core storage logic. Extract migrations into a versioned system.

Current issues:
- 11 migration functions mixed with core logic
- Hard to see migration history
- Sequential migrations slow database open
- No clear migration versioning

Migration functions to extract:
- `migrateDirtyIssuesTable()`
- `migrateIssueCountersTable()`
- `migrateExternalRefColumn()`
- `migrateCompositeIndexes()`
- `migrateClosedAtConstraint()`
- `migrateCompactionColumns()`
- `migrateSnapshotsTable()`
- `migrateCompactionConfig()`
- `migrateCompactedAtCommitColumn()`
- `migrateExportHashesTable()`
- Plus 1 more (11 total)

Target structure:
```
internal/storage/sqlite/
├── sqlite.go          # Core storage (~800 lines)
├── schema.go          # Table definitions (~200 lines)
├── migrations.go      # Migration orchestration (~200 lines)
└── migrations/        # Individual migrations
    ├── 001_initial_schema.go
    ├── 002_dirty_issues.go
    ├── 003_issue_counters.go
    [... through 011_export_hashes.go]
```

Benefits:
- Clear migration history
- Each migration self-contained
- Easier to review migration changes in PRs
- Future migrations easier to add


Daemon crashes silently on RPC query after startup

The daemon fails to handle 'show' RPC commands when:
1) JSONL is newer than database (needs import)
2) git pull fails due to uncommitted changes

Symptoms:
- Daemon appears to run (ps shows process)
- 'bd list' and other commands work fine
- 'bd show <id>' returns "failed to read response: EOF"
- No panic or error logged in daemon.log

Root cause likely: auto-import deadlock or state corruption when import is blocked by git conflicts.

Workaround:
- Restart daemon after syncing git state (commit/push changes)
- OR use --no-daemon flag for all commands

The panic recovery added in server_lifecycle_conn.go:183 didn't catch any panics, confirming this isn't a panic-based crash.

Root cause found and fixed: Two bugs - (1) nil pointer check missing in handleShow causing panic, (2) double JSON encoding in show.go ID resolution. Both fixed. bd show now works with daemon.


Implement health checks in daemon event loop

Add health checks to checkDaemonHealth() function in daemon_event_loop.go:170:
- Database integrity check
- Disk space check
- Memory usage check

Currently it's just a no-op placeholder.


Add integration tests for multi-repo sync

Test: Clone A deletes issue, Clone B imports Clone A's JSONL. Verify Clone B handles deletion gracefully with resurrection. Test concurrent imports with same orphans (should be idempotent). Test round-trip fidelity (export→delete parent→import→verify structure).


Fix default .beads/.gitignore to ignore merge artifacts (GH #274)

Updated the default .gitignore template created by `bd init` to properly ignore merge artifacts and fix overly broad patterns.

Changes:
- Added `*.db?*` pattern for database files with query strings
- Added explicit patterns for merge artifacts: beads.{base,left,right}.{jsonl,meta.json}
- Changed `!*.jsonl` to `!issues.jsonl` to avoid including merge artifact JSONL files

This fixes GitHub issue #274 reported by rscorer.


Add unit tests for hasJSONLChanged() function

The hasJSONLChanged() function has no unit tests. Should test:
- Normal case: hash matches
- Normal case: hash differs
- Edge case: empty file
- Edge case: missing metadata (first run)
- Edge case: corrupted metadata
- Edge case: file read errors
- Edge case: invalid hash format in metadata

Also add performance benchmarks for large JSONL files.


show commit hash in 'bd version' when built from source'


Document -short flag in testing guide

Add documentation about the -short flag and how it's used to skip slow tests. Should explain that developers can run 'go test -short ./...' for fast iteration and 'go test ./...' for full coverage.


Split internal/rpc/server.go into focused modules

The file `internal/rpc/server.go` is 2,273 lines with 50+ methods, making it difficult to navigate and prone to merge conflicts. Split into 8 focused files with clear responsibilities.

Current structure: Single 2,273-line file with:
- Connection handling
- Request routing
- All 40+ RPC method implementations
- Storage caching
- Health checks & metrics
- Cleanup loops

Target structure:
```
internal/rpc/
├── server.go          # Core server, connection handling (~300 lines)
├── methods_issue.go   # Issue operations (~400 lines)
├── methods_deps.go    # Dependency operations (~200 lines)
├── methods_labels.go  # Label operations (~150 lines)
├── methods_ready.go   # Ready work queries (~150 lines)
├── methods_compact.go # Compaction operations (~200 lines)
├── methods_comments.go # Comment operations (~150 lines)
├── storage_cache.go   # Storage caching logic (~300 lines)
└── health.go          # Health & metrics (~200 lines)
```

Migration strategy:
1. Create new files with appropriate methods
2. Keep `server.go` as main file with core server logic
3. Test incrementally after each file split
4. Final verification with full test suite


bd doctor --json flag not working

The --json flag on bd doctor command doesn't produce JSON output. It continues to show human-readable output instead. The flag is registered locally on doctorCmd but the code uses the global jsonOutput variable set by PersistentPreRun. Need to investigate why the flag isn't being honored.


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


bd-hv01: No snapshot versioning or timestamps causes stale data usage

Problem: If sync is interrupted (crash, kill -9, power loss), stale snapshots persist indefinitely. Next sync uses stale data leading to incorrect deletions.

Fix: Add metadata to snapshots with timestamp, version, and commit SHA. Validate snapshots are recent (< 1 hour old), from compatible version, and from expected git commit.

Files: cmd/bd/deletion_tracking.go (all snapshot functions)


Multi-repo contributor workflow support

Implement separate repository support for OSS contributors to prevent PR pollution while maintaining git ledger and multi-clone sync. Based on contributor-workflow-analysis.md Solution #4.


Import should continue on FOREIGN KEY constraint violations from deletions

# Problem

When importing JSONL after a merge that includes deletions, we may encounter FOREIGN KEY constraint violations if:
- Issue A was deleted in one branch
- Issue B (that depends on A) was modified in another branch
- The merge keeps the deletion of A and the modification of B
- Import tries to import B with a dependency/reference to deleted A

Currently import fails completely on such constraint violations, requiring manual intervention.

# Solution

Add IsForeignKeyConstraintError() helper similar to IsUniqueConstraintError()

Update import code to:
1. Detect FOREIGN KEY constraint violations
2. Log a warning with the issue ID and constraint
3. Continue importing remaining issues
4. Report summary of skipped issues at the end

# Implementation Notes

- Add to internal/storage/sqlite/util.go
- Pattern: strings.Contains(err.Error(), "FOREIGN KEY constraint failed")
- Update importer to handle these errors gracefully
- Keep track of skipped issues for summary reporting

## Progress

Added IsForeignKeyConstraintError() helper function:
- Located in internal/storage/sqlite/util.go
- Detects both uppercase and lowercase variants
- Full test coverage added to util_test.go
- Tests pass ✓

## Next Steps

When FK constraint error is reproduced:
1. Update importer.go to use IsForeignKeyConstraintError()
2. Log warning with issue ID and constraint details
3. Track skipped issues in Result struct
4. Continue import instead of failing
5. Report skipped issues in summary

The helper is ready to use when you encounter the actual constraint violation.


Implement filesystem shims for WASM

WASM needs JS shims for filesystem access. Child of epic bd-44d0.

## Tasks
- [ ] Implement file read/write shims
- [ ] Map WASM syscalls to Node.js fs API
- [ ] Handle .beads/ directory discovery
- [ ] Test with real JSONL files
- [ ] Support both absolute and relative paths

## Technical Notes
- Use Node.js fs module via syscall/js
- Consider MEMFS for in-memory option


Optimize cmd/bd test suite performance (currently 30+ minutes)

CLI test suite is extremely slow (~30+ minutes for full run). Tests are poorly designed and need performance optimization before expanding coverage.

Current coverage: 24.8% (improved from 20.2%)

**Problem**: Tests take far too long to run, making development iteration painful.

**Priority**: Fix test performance FIRST, then consider increasing coverage.

**Investigation needed**:
- Profile test execution to identify bottlenecks
- Look for redundant git operations, database initialization, or daemon operations
- Identify opportunities for test parallelization
- Consider mocking or using in-memory databases where appropriate
- Review test design patterns

**Related**: bd-ktng mentions 13 CLI tests with redundant git init calls (31s total)

**Goal**: Get full test suite under 1-2 minutes before adding more tests.


Fix silent error handling in RPC response writing

Marshal and write errors silently ignored in writeResponse, can send partial JSON and hang clients.

Location: internal/rpc/server_lifecycle_conn.go:228-232

Problem:
- json.Marshal error ignored - cyclic reference sends corrupt JSON
- Write error ignored - connection closed, no indication to caller
- WriteByte error ignored - client hangs waiting for newline
- Flush error ignored - partial data buffered

Current code:
func (s *Server) writeResponse(writer *bufio.Writer, resp Response) {
    data, _ := json.Marshal(resp)  // Ignored!
    _, _ = writer.Write(data)      // Ignored!
    _ = writer.WriteByte('\n')     // Ignored!
    _ = writer.Flush()             // Ignored!
}

Solution: Return errors, handle in caller, close connection on error

Impact: Client hangs waiting for response; corrupt JSON sent

Effort: 1 hour


Final validation test


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,-1


User Diagnostics (bd doctor --perf)

Extend cmd/bd/doctor.go to add --perf flag for user performance diagnostics.

Functionality:
- Add --perf flag to existing bd doctor command
- Collect system info (OS, arch, Go version, SQLite version)
- Collect database stats (size, issue counts, dependency counts)
- Time key operations on user's actual database:
  * bd ready
  * bd list --status=open
  * bd show <random-issue>
  * bd create (with rollback)
  * Search with filters
- Generate CPU profile automatically (timestamped filename)
- Output simple report with platform info, timings, profile location

Output example:
  Beads Performance Diagnostics
  Platform: darwin/arm64
  Database: 8,234 issues (4,123 open)

  Operation Performance:
    bd ready                  42ms
    bd list --status=open     15ms

  Profile saved: beads-perf-2025-11-13.prof
  View: go tool pprof -http=:8080 beads-perf-2025-11-13.prof

Implementation:
- Extend cmd/bd/doctor.go (~100 lines)
- Use runtime/pprof for CPU profiling
- Use time.Now()/time.Since() for timing
- Rollback test operations (don't modify user's database)


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)


Add comprehensive filters to bd export

Enhance bd export with filtering options for selective exports.

**Currently only has:**
- --status

**Add filters:**
- --label, --label-any
- --assignee
- --type
- --priority, --priority-min, --priority-max
- --created-after, --created-before
- --updated-after, --updated-before

**Use case:**
- Export only open issues: bd export --status open
- Export high-priority bugs: bd export --type bug --priority-max 1
- Export recent issues: bd export --created-after 2025-01-01

**Files to modify:**
- cmd/bd/export.go
- Reuse filter logic from list.go


Invert control for compact: provide tools for agent-driven compaction

Currently compact requires Anthropic API key because bd calls the AI directly. This is backwards - we should provide tools (like all other bd commands) that let an AI agent perform the compaction. The agent decides what to keep/merge, not bd. Related to GH #243 complaint about API key requirement.


Add mutex protection for dirtyIssues map in autoflush.go

**Location:** cmd/bd/autoflush.go (global state)

**Issue:** Global dirtyIssues map is modified without synchronization across goroutines. Daemon event loop and flush manager both access this shared state with no documented mutex protection.

**Impact:** Potential race conditions leading to:
- Lost dirty tracking
- Concurrent map access panics
- Data corruption on flush

**Evidence:** 277 occurrences of Lock/Unlock patterns found in cmd/bd but no evidence of protection for dirty tracking.

**Fix:** Implement mutex-protected map or use sync.Map for concurrent access to dirtyIssues.


Delete server_cache_storage.go

Remove the entire cache implementation file (~286 lines)


GH#146: No color showing in terminal for some users

User reports color not working in macOS (Taho 26.0.1) with iTerm 3.6.4 and Terminal.app, despite color working elsewhere in terminal. Python rich and printf escape codes work.

Need to investigate:
- Is NO_COLOR env var set?
- Terminal type detection?
- fatih/color library configuration
- Does bd list show colors? bd ready? bd init?
- What's the output of: echo $TERM, echo $NO_COLOR


Create Go adapter library (optional)

For agents written in Go, provide native adapter library instead of shelling out to curl.

Acceptance Criteria:
- agentmail.Client struct
- HTTP client with timeout/retry logic
- Same API as Python adapter
- Example usage in examples/go-agent/
- Unit tests

File: pkg/agentmail/client.go

Note: Lower priority - can shell out to curl initially


Add error handling test for cmd.Help() in search command

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

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

In cmd/bd/search.go:39, the return value of cmd.Help() is not checked, flagged by errcheck linter.

Add test to verify:
- Error handling when cmd.Help() fails (e.g., output redirection fails)
- Proper error propagation to caller
- Command still exits gracefully on help error

This ensures the search command handles help errors properly and doesn't silently ignore failures.

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


Blocked issue


bd init overwrites existing git hooks without detection or chaining

GH #254: bd init silently overwrites existing git hooks (like pre-commit framework) without detecting them, backing them up, or offering to chain. This breaks workflows and can result in committed code with failing tests.

Fix: Detect existing hooks, prompt user with options to chain/overwrite/skip.


bd prime: AI context loading and Claude Code integration

Implement `bd prime` command and Claude Code hooks for context recovery. Hooks work with BOTH MCP server and CLI approaches - they solve the context memory problem (keeping bd workflow fresh after compaction) not the tool access problem (MCP vs CLI).


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


Remove unreachable utility functions

Several small utility functions are unreachable:

Files to clean:
1. `internal/storage/sqlite/hash.go` - `computeIssueContentHash` (line 17)
   - Check if entire file can be deleted if only contains this function

2. `internal/config/config.go` - `FileUsed` (line 151)
   - Delete unused config helper

3. `cmd/bd/git_sync_test.go` - `verifyIssueOpen` (line 300)
   - Delete dead test helper

4. `internal/compact/haiku.go` - `HaikuClient.SummarizeTier2` (line 81)
   - Tier 2 summarization not implemented
   - Options: implement feature OR delete method

Impact: Removes 50-100 LOC depending on decisions


Document error handling strategy for metadata update failures

Multiple places silently ignore metadata update failures (sync.go:614-617, import.go:320-322) with non-fatal warnings. This is intentional (degrades gracefully to mtime-based approach) but not well documented.

Add comments explaining:
- Why these failures are non-fatal
- How system degrades gracefully
- What the fallback behavior is (mtime-based detection)


Extract duplicated validation logic from CLI commands

~150 lines of identical validation logic duplicated between cmd_create.go and cmd_update.go

Duplication found:
- validateBeadFields(): 2 identical copies (50+ lines each)
- parseTimeWithDefault(): 2 identical copies (30 lines each)
- Flag definitions: 15+ duplicate registrations

Solution: Extract to shared packages:
- internal/validation/bead.go - Centralized validation
- internal/utils/time.go - Consolidate time parsing (already exists)
- cmd/bd/flags.go - Shared flag registration

Impact: Changes require touching 2+ files; high risk of inconsistency; steep learning curve

Effort: 4-6 hours


YABB: Spurious issue updates during normal operations

Issue bd-627d was updated during config refactoring session without any actual changes to it. Only timestamps and content_hash changed.

Observed: Running various bd commands (list, create, etc.) caused bd-627d updated_at to change from 14:14 to 14:31.

Expected: Issues should only be updated when explicitly modified.

This causes:
- Dirty JSONL after every session
- False conflicts in git
- Confusing git history

Likely culprit: Daemon auto-import/export cycle or database migration touching all issues.

Investigated thoroughly - unable to reproduce. The import logic has IssueDataChanged() checks before calling UpdateIssue (importer/importer.go:458). All tests pass. May have been fixed by recent refactorings. Closing as cannot reproduce - please reopen with specific repro steps if it occurs again.


Optimize GetReadyWork performance - 752ms on 10K database (target: <50ms)

# Performance Analysis (10K Issue Database)

Analyzed using CPU profiles from benchmark suite on Apple M2 Pro.

## ✅ OPTIMIZATION COMPLETE

**Current Performance (as of 2025-11-23):**
- **10K database**: ~29ms (167K allocs, 16MB) ✅ **Target met!**
- **20K database**: ~60ms (338K allocs, 53MB) - Acceptable for scale
- **Original**: 752ms (before optimization)
- **Improvement**: **25.8x faster** 🎉

## Implementation

The cache optimization has been successfully implemented:

1. ✅ **blocked_issues_cache table** (migration 015)
   - Materializes recursive CTE computation
   - Rebuilt on dependency/status changes
   - See: `internal/storage/sqlite/blocked_cache.go`

2. ✅ **Cache invalidation triggers**
   - On dependency add/remove (`dependencies.go:156, 212`)
   - On status changes (`queries.go:521, 695`)
   - Only for 'blocks' and 'parent-child' dependency types

3. ✅ **Database indexes verified**
   - `idx_dependencies_depends_on_type_issue`
   - `idx_dependencies_depends_on_type`
   - `idx_issues_status`
   - All recommended indexes in place

## Benchmark Results

```
BenchmarkGetReadyWork_Large-10 (10K issues)
  29ms per operation
  167,447 allocations
  15.9 MB allocated

BenchmarkGetReadyWork_XLarge-10 (20K issues)
  60ms per operation
  337,819 allocations
  53.4 MB allocated
```

## Original Performance Analysis

| Operation                        | Time    | Allocations | Memory |
|----------------------------------|---------|-------------|--------|
| bd ready (GetReadyWork)          | ~752ms  | 167,466     | 16MB   |
| bd list (SearchIssues no filter) | ~11.6ms | 89,214      | 5.8MB  |
| bd list (SearchIssues filtered)  | ~9.2ms  | 62,365      | 3.5MB  |

**Target: <50ms for all operations on 10K database** ✅ **ACHIEVED**

## Root Cause (Now Fixed)

GetReadyWork originally used recursive CTE to propagate blocking on every call:
- 65x slower than SearchIssues
- Recalculated entire blocked issue tree on every call
- Database syscalls: ~75% of CPU time

## Solution

Cache-based approach implemented:
- `blocked_issues_cache` table stores pre-computed blocked issues
- Invalidated only when dependencies or issue status changes
- Read queries use simple `NOT EXISTS` lookup instead of recursive CTE
- Write complexity traded for read speed (ready called >> dependency changes)

## Verification

Run benchmarks to validate:
```bash
go test -tags=bench -bench='BenchmarkGetReadyWork.*' -benchmem ./internal/storage/sqlite/
```

Profile files automatically generated in `internal/storage/sqlite/bench-cpu-*.prof`


Add 'bd doctor --rebuild-cache' command for cache recovery

Add admin command to manually rebuild the blocked_issues_cache table for recovery scenarios.

## Use cases

1. **Cache corruption recovery**
   - If cache gets out of sync with actual dependencies
   - Manual rebuild as safety measure

2. **Post-migration verification**
   - After database migrations that affect dependencies
   - Verify cache is correctly populated

3. **Debugging**
   - Compare cache state with actual blocking calculations
   - Troubleshoot performance issues

## Implementation

Add flag to bd doctor command:

```bash
bd doctor --rebuild-cache
```

Should:
- Call `SQLiteStorage.invalidateBlockedCache()` directly
- Print before/after cache statistics
- Show timing information
- Exit code 0 on success

Example output:
```
Rebuilding blocked_issues_cache...
Before: 15 blocked issues
After: 15 blocked issues
Rebuilt in 12ms
✓ Cache rebuild complete
```

## Files to modify

- cmd/bd/doctor.go - add --rebuild-cache flag
- internal/storage/sqlite/blocked_cache.go - maybe add public RebuildBlockedCache() method

## Related

- [deleted:[deleted:bd-5qim]]: GetReadyWork performance optimization
- bd-13gm: Add cache validation tests


Fix Homebrew warning about Ruby file location

Homebrew warning: Found Ruby file outside steveyegge/beads tap formula directory.
Warning points to: /opt/homebrew/Library/Taps/steveyegge/homebrew-beads/bd.rb
It should likely be inside a Formula/ directory or similar structure expected by Homebrew taps.


Add unit tests for config modes

Test all four orphan_handling modes: strict (fails), resurrect (creates tombstone), skip (logs warning), allow (imports orphan). Verify error messages and logging output for each mode.


Centralize BD_DEBUG logging into debug package

The codebase has 43 scattered instances of `if os.Getenv("BD_DEBUG") != ""` debug checks across 6 files. Centralize into a debug logging package.

Current locations:
- `cmd/bd/main.go` - 15 checks
- `cmd/bd/autoflush.go` - 6 checks
- `cmd/bd/nodb.go` - 4 checks
- `internal/rpc/server.go` - 2 checks
- `internal/rpc/client.go` - 5 checks
- `cmd/bd/daemon_autostart.go` - 11 checks

Target structure:
```
internal/debug/
└── debug.go
```

Benefits:
- Centralized debug logging
- Easier to add structured logging later
- Testable (can mock debug output)
- Consistent debug message format

Impact: Removes 43 scattered checks, improves code clarity


Improve timestamp comparison readability in import

The timestamp comparison logic uses double-negative which can be confusing:

Current code:
if !incoming.UpdatedAt.After(existing.UpdatedAt) {
    // skip update
}

More readable:
if incoming.UpdatedAt.After(existing.UpdatedAt) {
    // perform update
} else {
    // skip (local is newer)
}

This is a minor refactor for code clarity.

Related: bd-1022
Files: internal/importer/importer.go:411, 488


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


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.


Remove unused global daemon infrastructure (internal/daemonrunner/)

The internal/daemonrunner/ package (1,468 LOC) contains the old global daemon implementation that is no longer used. We now use per-workspace daemons.

Deadcode analysis shows all these functions are unreachable:
- Daemon.Start, runGlobalDaemon, setupLock
- validateSingleDatabase, validateSchemaVersion
- registerDaemon, unregisterDaemon
- validateDatabaseFingerprint
- Full git client implementation (NewGitClient, HasUpstream, HasChanges, Commit, Push, Pull)
- Helper functions: isGitRepo, gitHasUpstream, gitHasChanges, gitCommit

The entire package appears unused since switching to per-workspace daemon architecture.

Files to remove:
- daemon.go (9,436 bytes)
- git.go (3,510 bytes)
- sync.go (6,401 bytes)
- fingerprint.go (2,076 bytes)
- process.go (3,332 bytes)
- rpc.go (994 bytes)
- config.go (486 bytes)
- logger.go (1,579 bytes)
- flock_*.go (platform-specific file locking)
- signals_*.go (platform-specific signal handling)
- All test files

Total cleanup: ~1,500 LOC


Testing & Validation

Ensure reliability through comprehensive testing.

Completed comprehensive Agent Mail test coverage analysis and implementation.

**Test Coverage Summary:**
- 66 total tests across 5 files
- 51 unit tests for HTTP adapter (0.02s)
- 15 integration tests for multi-agent scenarios (~55s total)

**New Tests Added:**
Created `test_multi_agent_coordination.py` (4 tests, 11s) covering:
1. Fairness: 10 agents competing for 5 issues → exactly 1 claim per issue
2. Notifications: End-to-end message delivery between agents
3. Handoff: Clean reservation transfer from agent1 to agent2
4. Idempotency: Double reserve/release by same agent

**Coverage Quality:**
✅ Collision prevention (race conditions)
✅ Graceful degradation (7 failure modes)
✅ TTL/expiration behavior
✅ Multi-agent coordination
✅ JSONL consistency
✅ HTTP error handling
✅ Authorization and configuration

**Intentionally Skipped:**
- Path traversal (validated elsewhere)
- Retry policies (nice-to-have)
- HTTPS/TLS (out of scope)
- Slow tests (50+ agents, soak tests)

See `tests/integration/AGENT_MAIL_TEST_COVERAGE.md` for details.

All tests pass. Agent Mail integration is well-tested and reliable for multi-agent scenarios.