Document protected branch workflow

Create comprehensive documentation for protected branch workflow.

Tasks:
- Add "Protected Branch Workflow" section to AGENTS.md
- Create docs/PROTECTED_BRANCHES.md guide
- Update README.md quick start
- Add examples to examples/protected-branch/
- Update bd init --help documentation
- Add troubleshooting guide
- Add migration guide for existing users
- Record demo video (optional)

Estimated effort: 2-3 days

- Clear quick start (< 2 minutes to set up)
- Detailed guide covers all scenarios
- Examples work end-to-end
- Troubleshooting answers common questions
- Platform-agnostic (not GitHub-specific)

Completed protected branch workflow documentation. Created comprehensive guide (docs/PROTECTED_BRANCHES.md), updated AGENTS.md with workflow section, added feature to README.md, and created working example (examples/protected-branch/). All commands verified working (bd init --branch, bd sync --status, bd sync --merge, bd config get/set sync.branch).


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


Issue with desc

This is a description


Refactor daemon.go into internal/daemonrunner

Extract daemon runtime from daemon.go (1,565 lines) into internal/daemonrunner with focused modules: config.go, daemon.go, process.go, rpc_server.go, sync.go, git.go. Keep cobra command thin.

New structure:
- internal/daemonrunner/config.go: Config struct
- internal/daemonrunner/daemon.go: Daemon struct + Start/Stop
- internal/daemonrunner/process.go: PID/lock/socket handling
- internal/daemonrunner/rpc_server.go: RPC lifecycle
- internal/daemonrunner/sync.go: Export/import/commit/push logic
- internal/daemonrunner/git.go: Git operations interface
- cmd/bd/daemon.go: Thin cobra command


Implement bd resolve-conflicts (git merge conflicts in JSONL)

Automatically detect and resolve git merge conflicts in .beads/issues.jsonl file.

Features:
- Detect conflict markers in JSONL
- Parse conflicting issues from HEAD and BASE
- Provide mechanical resolution (remap duplicate IDs)
- Support AI-assisted resolution (requires internal/ai package)

See repair_commands.md lines 125-353 for design.


Latency test 1


Test Epic

## Overview

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

## Success Criteria

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

## Background

[Provide context and motivation]

## Scope

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

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

## Architecture

[Describe the overall architecture and approach]

## Components

- Component 1: [description]
- Component 2: [description]

## Dependencies

[List external dependencies or constraints]

- [ ] All child issues are completed
- [ ] Integration tests pass
- [ ] Documentation is updated
- [ ] Code review completed


Add integration tests for adapter library

Test suite for beads_mail_adapter.py covering all scenarios.

Acceptance Criteria:
- Test enabled mode (server available)
- Test disabled mode (server unavailable)
- Test graceful degradation (server dies mid-operation)
- Test reservation conflicts
- Test message sending/receiving
- Mock HTTP server for testing
- 90%+ code coverage

File: lib/test_beads_mail_adapter.py

Test suite completed with 29 comprehensive tests covering:
- Enabled mode (server available): 10 tests
- Disabled mode (server unavailable): 2 tests
- Graceful degradation: 4 tests
- Reservation conflicts: 2 tests
- Configuration: 5 tests
- Health check scenarios: 3 tests
- HTTP error handling: 3 tests

**Performance**: All tests run in 10ms (fast!)

**Coverage highlights**:
✅ Server health checks (ok, degraded, error, timeout)
✅ All API operations (reserve, release, notify, check_inbox, get_reservations)
✅ HTTP errors (404, 409 conflict, 500, 503)
✅ Network errors (timeout, connection refused)
✅ Malformed responses (bad JSON, empty body, plain text errors)
✅ Environment variable configuration
✅ Graceful degradation when server dies mid-operation
✅ Conflict handling with both JSON and plain text errors
✅ Dict wrapper responses ({"messages": [...]} and {"reservations": [...]})
✅ Custom TTL for reservations
✅ Default agent name fallback

No external dependencies, no slow integration tests, just fast unit tests with mocks.


Issue to reopen with reason


SearchIssues N+1 query causes context timeout with GetLabels

scanIssues() calls GetLabels in a loop for every issue, causing N+1 queries and context deadline exceeded errors when used with short timeouts or in-memory databases. This is especially problematic since SearchIssues already supports label filtering via SQL WHERE clauses.

- Optimize scanIssues to batch-load labels for all issues in one query
- Or make label loading optional/lazy
- Add test that calls SearchIssues repeatedly with label filters and short context timeouts


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.

## Operation Performance

| 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  |
| bd create (CreateIssue)          | ~2.6ms  | 146         | 8.6KB  |
| bd update (UpdateIssue)          | ~0.32ms | 364         | 15KB   |
| bd close (UpdateIssue)           | ~0.32ms | 364         | 15KB   |

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

**Current issue: GetReadyWork is 15x over target (752ms vs 50ms)**

## Root Cause

GetReadyWork (internal/storage/sqlite/ready.go:90-128) uses recursive CTE to propagate blocking:
- 65x slower than SearchIssues
- Recalculates entire blocked issue tree on every call
- Algorithm:
  1. Find directly blocked issues via 'blocks' dependencies
  2. Recursively propagate blockage to descendants (max depth: 50)
  3. Exclude all blocked issues from results

## CPU Profile Analysis

- Database syscalls (pthread_cond_signal, syscall6): ~75%
- SQLite engine overhead: inherent to recursive CTE
- Application code (query construction): <1%

**Bottleneck is the recursive CTE query execution, not application code.**

## Optimization Recommendations

### High Impact (Likely to achieve <50ms target)

1. **Cache blocked issue calculation**
   - Add `blocked_issues` table updated on dependency changes
   - Trade write complexity for read speed (ready called >> dependency changes)
   - Eliminates recursive CTE on every read

2. **Add/verify database indexes**
   ```sql
   CREATE INDEX IF NOT EXISTS idx_dependencies_blocked
     ON dependencies(issue_id, type, depends_on_id);
   CREATE INDEX IF NOT EXISTS idx_issues_status
     ON issues(status);
   ```

### Medium Impact

3. **Reduce allocations** (167K allocations for GetReadyWork)
   - Profile `scanIssues()` for object pooling opportunities
   - Reuse slice capacity for repeated calls

### Low Impact (Not recommended)
- Query optimization for CRUD operations (already <3ms)
- Connection pooling tuning (not showing in profiles)

## Verification

Run benchmarks to validate optimization:
```bash
make bench-quick
go tool pprof -http=:8080 internal/storage/sqlite/bench-cpu-*.prof
```

Profile files automatically generated in `internal/storage/sqlite/`.


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.


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

- All 50 methods split into appropriate files
- Each file <500 LOC
- All methods remain on `*Server` receiver (no behavior change)
- All tests pass: `go test ./internal/rpc/...`
- Verify daemon works: start daemon, run operations, check health
- Update internal documentation if needed
- No change to public API


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.


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

## Architecture: Agent-Supervised Migrations (Inversion of Control)

**Key principle:** Beads provides observability and validation primitives. AI agents supervise using their own reasoning. Beads NEVER makes AI API calls.

## Phase 1: Migration Invariants (Pure Validation)

Create `internal/storage/sqlite/migration_invariants.go`:

```go
type MigrationInvariant struct {
    Name        string
    Description string
    Check       func(*sql.DB, *Snapshot) error
}

type Snapshot struct {
    IssueCount      int
    ConfigKeys      []string
    DependencyCount int
    LabelCount      int
}

var invariants = []MigrationInvariant{
    {
        Name: "required_config_present",
        Description: "Required config keys must exist",
        Check: checkRequiredConfig, // Would have caught GH #201
    },
    {
        Name: "foreign_keys_valid",
        Description: "No orphaned dependencies or labels",
        Check: checkForeignKeys,
    },
    {
        Name: "issue_count_stable",
        Description: "Issue count should not decrease unexpectedly",
        Check: checkIssueCount,
    },
}

func checkRequiredConfig(db *sql.DB, snapshot *Snapshot) error {
    required := []string{"issue_prefix", "schema_version"}
    for _, key := range required {
        var value string
        err := db.QueryRow("SELECT value FROM config WHERE key = ?", key).Scan(&value)
        if err != nil || value == "" {
            return fmt.Errorf("required config key missing: %s", key)
        }
    }
    return nil
}
```

## Phase 2: Dry-Run & Inspection Tools

Add `bd migrate --dry-run --json`:

```json
{
  "pending_migrations": [
    {"name": "dirty_issues_table", "description": "Adds dirty_issues table"},
    {"name": "content_hash_column", "description": "Adds content_hash for collision resolution"}
  ],
  "current_state": {
    "schema_version": "0.9.9",
    "issue_count": 247,
    "config": {"schema_version": "0.9.9"},
    "missing_config": ["issue_prefix"]
  },
  "warnings": [
    "issue_prefix config not set - may break commands after migration"
  ],
  "invariants_to_check": [
    "required_config_present",
    "foreign_keys_valid",
    "issue_count_stable"
  ]
}
```

Add `bd info --schema --json`:

```json
{
  "tables": ["issues", "dependencies", "labels", "config"],
  "schema_version": "0.9.9",
  "config": {},
  "sample_issue_ids": ["mcp-1", "mcp-2"],
  "detected_prefix": "mcp"
}
```

## Phase 3: Pre/Post Snapshots with Rollback

Update `RunMigrations()`:

```go
func RunMigrations(db *sql.DB) error {
    // Capture pre-migration snapshot
    snapshot := captureSnapshot(db)

    // Run migrations in transaction
    tx, err := db.Begin()
    if err != nil {
        return err
    }
    defer tx.Rollback()

    for _, migration := range migrations {
        if err := migration.Func(tx); err != nil {
            return fmt.Errorf("migration %s failed: %w", migration.Name, err)
        }
    }

    // Verify invariants before commit
    if err := verifyInvariants(tx, snapshot); err != nil {
        return fmt.Errorf("post-migration validation failed (rolled back): %w", err)
    }

    return tx.Commit()
}
```

## Phase 4: MCP Tools for Agent Supervision

Add to beads-mcp:

```python
@server.tool()
async def inspect_migration(workspace_root: str) -> dict:
    """Get migration plan and current state for agent analysis.

    Agent should:
    1. Review pending migrations
    2. Check for warnings (missing config, etc.)
    3. Verify invariants will pass
    4. Decide whether to run bd migrate
    """
    result = run_bd(["migrate", "--dry-run", "--json"], workspace_root)
    return json.loads(result.stdout)

@server.tool()
async def get_schema_info(workspace_root: str) -> dict:
    """Get current database schema for migration analysis."""
    result = run_bd(["info", "--schema", "--json"], workspace_root)
    return json.loads(result.stdout)
```

## Agent Workflow Example

```python
# Agent detects user wants to migrate
migration_plan = inspect_migration("/path/to/workspace")

# Agent analyzes (using its own reasoning, no API calls from beads)
if "issue_prefix" in migration_plan["missing_config"]:
    schema = get_schema_info("/path/to/workspace")
    detected_prefix = schema["detected_prefix"]

    # Agent fixes issue before migration
    run_bd(["config", "set", "issue_prefix", detected_prefix])

# Now safe to migrate
run_bd(["migrate"])
```

## What Beads Provides

✅ Deterministic validation (invariants)
✅ Structured inspection (--dry-run, --explain)
✅ Rollback on invariant failure
✅ JSON output for agent parsing

## What Beads Does NOT Do

❌ No AI API calls
❌ No external model access
❌ No agent invocation

Agents supervise migrations using their own reasoning and the inspection tools beads provides.

Phase 1: Migration invariants implemented and tested, checked after every migration, clear error messages when invariants fail.

Phase 2: Snapshot capture before migrations, comparison after, rollback on verification failure.

Phase 3 (stretch): AI validation optional flag implemented, AI can analyze migration code and generate custom validation queries.

Phase 4 (stretch): Migration test fixtures created, all fixtures pass migrations, CI runs migration tests.

## 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.


Create WASM build infrastructure (Makefile, scripts)

Set up build tooling for WASM compilation:
- Add GOOS=js GOARCH=wasm build target
- Copy wasm_exec.js from Go distribution
- Create wrapper script for Node.js execution
- Add build task to Makefile or build script


Fix Nix flake build test failures

Nix build is failing during test phase with same test errors as Windows.

**Error:**
```
error: Cannot build '/nix/store/rgyi1j44dm6ylrzlg2h3z97axmfq9hzr-beads-0.9.9.drv'.
Reason: builder failed with exit code 1.
FAIL github.com/steveyegge/beads/cmd/bd 16.141s
```

This may be related to test environment setup or the same issues affecting Windows tests.


Multi-clone collision resolution testing and documentation

Epic to track improvements to multi-clone collision resolution based on ultrathinking analysis of-3d844c58 and [deleted:bd-71107098].

Current state:
- 2-clone collision resolution is SOUND and working correctly
- Hash-based deterministic collision resolution works
- Test fails due to timestamp comparison, not actual logic issues

Work needed:
1. Fix TestTwoCloneCollision to compare content not timestamps
2. Add TestThreeCloneCollision for regression protection
3. Document 3-clone ID non-determinism as known behavior


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.

- Test compares issue content (title, description, status, priority) not timestamps
- TestTwoCloneCollision passes
- Both clones shown to have identical semantic content
- Timestamps explicitly documented as acceptable difference


Document 3-clone ID non-determinism in collision resolution

Document the known behavior of 3+ way collision resolution where ID assignments may vary based on sync order, even though content always converges correctly.

Updates needed:
- Update bd-71107098 notes to mark 2-clone case as solved
- Document 3-clone ID non-determinism as known limitation
- Add explanation to ADVANCED.md or collision resolution docs
- Explain why this happens (pairwise hash comparison is deterministic, but multi-way ID allocation uses sync-order dependent counters)
- Clarify trade-offs: content convergence ✅ vs ID stability ❌

Key points to document:
- Hash-based resolution is pairwise deterministic
- Content always converges correctly (all issues present with correct data)
- Numeric ID assignments in 3+ way collisions depend on sync order
- This is acceptable for most use cases (content convergence is primary goal)
- Full determinism would require complex multi-way comparison

- bd-71107098 updated with notes about 2-clone solution being complete
- 3-clone ID non-determinism documented in ADVANCED.md or similar
- Explanation includes why it happens and trade-offs
- Links to TestThreeCloneCollision as demonstration
- Users understand this is expected behavior, not a bug


Add TestThreeCloneCollision for regression protection

Add a 3-clone collision test to document behavior and provide regression protection.

Purpose:
- Verify content convergence regardless of sync order
- Document the ID non-determinism behavior (IDs may be assigned differently based on sync order)
- Provide regression protection for multi-way collisions

Test design:
- 3 clones create same ID with different content
- Test two different sync orders (A→B→C vs C→A→B)
- Assert content sets match (ignore specific ID assignments)
- Add comment explaining ID non-determinism is expected behavior

Known limitation:
- Content always converges correctly (all issues present with correct titles)
- Numeric ID assignments (test-2 vs test-3) depend on sync order
- This is acceptable if content convergence is the primary goal

- TestThreeCloneCollision added to beads_twoclone_test.go (or new file)
- Tests 3 clones with same ID collision
- Tests two different sync orders
- Asserts content convergence (all issues present, correct titles)
- Documents ID non-determinism in test comments
- Test passes consistently


Assigned issue


Update daemon commit logic for separate branch

Modify daemon to use worktree for commits when sync.branch configured.

Tasks:
- Update internal/daemon/server_export_import_auto.go
- Detect sync.branch configuration
- Ensure worktree exists before commit
- Sync JSONL to worktree
- Commit in worktree context
- Push to configured branch
- Fallback to current behavior if sync.branch not set
- Handle git errors (network, permissions, conflicts)

Estimated effort: 3-4 days

- When sync.branch configured, commits go to separate branch
- When sync.branch not configured, commits to current branch (backward compatible)
- No disruption to primary worktree
- Git errors handled gracefully with retry
- Daemon logs show which branch was used


Platform tests: Linux, macOS, Windows

Test event-driven mode on all platforms. Verify inotify (Linux), FSEvents (macOS), ReadDirectoryChangesW (Windows). Test fallback behavior on each.


Implement "bd daemons logs" subcommand

Add command to view daemon logs for a specific workspace. Requires daemon logging to file (may need separate issue for log infrastructure).


Create cmd/bd/daemon_event_loop.go (~200 LOC)

Implement runEventDrivenLoop to replace polling ticker. Coordinate FileWatcher, mutation events, debouncer. Include health check ticker (60s) for daemon validation.


Rapid 1


bd info shows 'auto_start_disabled' even when daemon is crashed/missing


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

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

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

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

## Proposed Architecture

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

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

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

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

## Implementation Phases

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

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

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

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

## Risks & Mitigations

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

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

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

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

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

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

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


Fixture Generator for Realistic Test Data

Create internal/testutil/fixtures/fixtures.go with functions to generate realistic test data at scale.

Functions:
- LargeSQLite(storage) - 10K issues, native SQLite
- XLargeSQLite(storage) - 20K issues, native SQLite
- LargeFromJSONL(storage) - 10K issues imported from JSONL
- XLargeFromJSONL(storage) - 20K issues imported from JSONL

Data characteristics:
- Epic hierarchies (depth 4): Epic → Feature → Task → Subtask
- Cross-linked dependencies (tasks blocking across epics)
- Realistic status/priority/label distribution
- Representative assignees and temporal data

Implementation:
- Single file: internal/testutil/fixtures/fixtures.go
- No config structs, simple direct functions
- Seeded RNG for reproducibility
- Reusable by both benchmarks and tests


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

- Remove unreachable functions
- If entire files can be deleted (like hash.go), delete them
- For SummarizeTier2: decide to implement or delete, document decision
- All tests pass: `go test ./...`
- Verify no callers exist for each function


Test exclusive file reservations with two agents

Simulate two agents racing to claim the same issue and verify that exclusive reservations prevent collision.

Acceptance Criteria:
- Agent A reserves bd-123 → succeeds
- Agent B tries to reserve bd-123 → fails with clear error message
- Agent B can see who has the reservation
- Reservation expires after TTL
- Agent B can claim after expiration

Successfully tested file reservations:
- Agent BrownBear reserved bd-123 → granted
- Agent ChartreuseHill tried same → conflicts returned
- System correctly prevents collision


Fix TestMigrateHashIDs test failure

Test failure in cmd/bd/migrate_hash_ids_test.go:100 - New ID bd-09970281 for bd-1 is not a hash ID. This test is validating the hash ID migration but the generated ID doesn't match the expected format.


Split test suites: fast vs. integration

Reorganize tests into separate packages/files for fast unit tests vs slow integration tests.

Benefits:
- Clear separation of concerns
- Easier to run just fast tests during development
- Can parallelize CI jobs better

Files to organize:
- beads_hash_multiclone_test.go (slow integration tests)
- beads_integration_test.go (medium-speed integration tests)
- Other test files (fast unit tests)


Issue to close


Message System Improvements

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


Auto-detect scenarios and prompt users

Detect when user is in fork/contributor scenario and prompt with helpful suggestions. Check: git remote relationships, existing .beads config, repo ownership. Suggest appropriate wizard.


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)


## 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


Make two-clone workflow actually work (no hacks)

TestTwoCloneCollision proves beads CANNOT handle two independent clones filing issues simultaneously. This is the basic collaborative workflow and it must work cleanly.

Test location: beads_twoclone_test.go

The test creates two git clones, both file issues with same ID (test-1), --resolve-collisions remaps clone B's to test-2, but after sync:
- Clone A has test-1="Issue from clone A", test-2="Issue from clone B"
- Clone B has test-1="Issue from clone B", test-2="Issue from clone A"

The TITLES are swapped! Both clones have 2 issues but with opposite title assignments.

We've tried many fixes (per-project daemons, auto-sync, lamport hashing, precommit hooks) but nothing has made the test pass.

Goal: Make the test pass WITHOUT hacks. The two clones should converge to identical state after sync.

1. TestTwoCloneCollision passes without EXPECTED FAILURE
2. Both clones converge to identical issue database
3. No manual conflict resolution required
4. Git status clean in both clones
5. bd ready output identical in both clones

**Major progress achieved!** The two-clone workflow now converges correctly.

**What was fixed:**
--3d844c58: Implemented content-hash based rename detection
- bd-64c05d00.1: Fixed test to compare content not timestamps
- Both clones now converge to identical issue databases
- test-1 and test-2 have correct titles in both clones
- No more title swapping!

**Current status (VERIFIED):**
✅ Acceptance criteria 1: TestTwoCloneCollision passes (confirmed Oct 28)
✅ Acceptance criteria 2: Both clones converge to identical issue database (content matches)
✅ Acceptance criteria 3: No manual conflict resolution required (automatic)
✅ Acceptance criteria 4: Git status clean
✅ Acceptance criteria 5: bd ready output identical (timestamps are expected difference)

**ALL ACCEPTANCE CRITERIA MET!** This issue is complete and can be closed.


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


Q4 Platform Improvements

## Overview

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

## Success Criteria

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

## Background

[Provide context and motivation]

## Scope

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

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


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


Add is_tombstone flag to schema

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


Refactor path canonicalization into helper function

The path canonicalization logic (filepath.Abs + EvalSymlinks) is duplicated in 3 places:
- beads.go:131-137 (BEADS_DIR handling)
- cmd/bd/main.go:446-451 (--no-db cleanup)
- cmd/bd/nodb.go:26-31 (--no-db initialization)

Refactoring suggestion:
Extract to a helper function like:
  func canonicalizePath(path string) string

This would:
- Reduce code duplication
- Make the logic easier to maintain
- Ensure consistent behavior across all path handling

Related to bd-e16b implementation.


Test issue 1


Blocking issue


Frontend task


~/src/beads daemon has 'sql: database is closed' errors - zombie daemon


Issue 2


Import reports misleading '0 created, 0 updated' when actually importing all issues

When running 'bd import' on a fresh database (no existing issues), the command reports 'Import complete: 0 created, 0 updated' even though it successfully imported all issues from the JSONL file.

**Steps to reproduce:**
1. Delete .beads/beads.db
2. Run: bd import .beads/issues.jsonl
3. Observe output: 'Import complete: 0 created, 0 updated'
4. Run: bd list
5. Confirm: All issues are actually present in the database

**Expected behavior:**
Report the actual number of issues imported, e.g., 'Import complete: 523 created, 0 updated'

**Actual behavior:**
'Import complete: 0 created, 0 updated' (misleading - makes user think import failed)

**Impact:**
- Users think import failed when it succeeded
- Confusing during database sync operations (e.g., after git pull)
- Makes debugging harder (can't tell if import actually worked)

**Context:**
Discovered during VC session when syncing database after git pull. The misleading message caused confusion about whether the database was properly synced with the canonical JSONL file.

- Import command reports accurate count of created/updated issues
- Fresh database import shows 'N created' where N is the actual number
- Update operations show 'N updated' where N is the actual number changed
- Message clearly indicates success vs failure


Test Epic 2


Rapid 2


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

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

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

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

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

Where suffix is first 4 chars of clone UUID.

## Implementation

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

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

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

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

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

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

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

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

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

## References
- Related to bd-0dcea000 (immediate fix)
- See beads_nway_test.go for failing N-way tests


Add MCP server functions for repair commands

Expose new repair commands via MCP server for agent access:

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

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

See repair_commands.md lines 803-884 for design.

Implemented all three MCP server functions:

1. **repair_deps(fix=False)** - Find/fix orphaned dependencies
2. **detect_pollution(clean=False)** - Detect/clean test issues
3. **validate(checks=None, fix_all=False)** - Run comprehensive health checks

Changes:
- Added abstract methods to BdClientBase
- Implemented in BdCliClient (CLI execution)
- Added NotImplementedError stubs in BdDaemonClient (falls back to CLI)
- Created wrapper functions in tools.py
- Registered @mcp.tool decorators in server.py

All commands tested and working with --no-daemon flag.


Complete remaining sync branch daemon tests

4 remaining test scenarios in daemon_sync_branch_test.go need completion:

⚠ MINOR FIXES (apply same pattern as TestSyncBranchCommitAndPush_Success):
1. TestSyncBranchCommitAndPush_NoChanges
   - Reorder: call initMainBranch() BEFORE creating JSONL
   - Pattern: init branch → create issue → export JSONL → test

2. TestSyncBranchCommitAndPush_WorktreeHealthCheck
   - Same reordering needed
   - Verify worktree corruption detection and auto-repair

🔧 MORE WORK NEEDED (remote branch setup):
3. TestSyncBranchPull_Success
   - Issue: remote doesn't have sync branch after push
   - Need to verify branch is pushed to remote correctly
   - Then test pull from clone2

4. TestSyncBranchIntegration_EndToEnd
   - Full workflow: Agent A commits → Agent B pulls → Agent B commits → Agent A pulls
   - Same remote branch issue

Pattern to apply (from TestSyncBranchCommitAndPush_Success):
- Call initMainBranch(t, dir) BEFORE creating issues/JSONL
- This ensures sync branch worktree has changes to commit

Acceptance:
- All 7 tests pass
- go test -v -run TestSyncBranch ./cmd/bd/ succeeds


Run final validation and cleanup checks

Final validation pass to ensure all cleanup objectives met and no regressions introduced.

Validation checklist:
1. Dead code verification: `go run golang.org/x/tools/cmd/deadcode@latest -test ./...`
2. Test coverage: `go test -cover ./...`
3. Build verification: `go build ./cmd/bd/`
4. Linting: `golangci-lint run`
5. Integration tests
6. Metrics verification
7. Git clean check

Final metrics to report:
- LOC removed: ~____
- Files deleted: ____
- Files created: ____
- Test coverage: ____%
- Build time: ____ (before/after)
- Test run time: ____ (before/after)

Impact: Confirms all cleanup objectives achieved successfully

- Zero unreachable functions per deadcode analyzer
- All tests pass: `go test ./...`
- Test coverage maintained or improved
- Builds cleanly: `go build ./...`
- Linting shows improvements
- Integration tests all pass
- LOC reduction target achieved (~2,500 LOC)
- No unintended behavior changes
- Git commit messages document all changes

## Validation Results (Oct 31, 2025)

**Dead Code:** ✅ Removed 5 unreachable functions (~200 LOC)
- computeIssueContentHash, shouldSkipExport (autoflush.go)
- addDependencyUnchecked, removeDependencyIfExists (dependencies.go)
- isUniqueConstraintError (util.go)

**Tests:** ✅ All pass
**Coverage:**
- Main package: 39.6%
- cmd/bd: 19.5%
- internal/daemon: 37.8%
- internal/storage/sqlite: 58.1%
- internal/rpc: 58.6%

**Build:** ✅ Clean (24.5 MB binary)
**Linting:** 247 issues (mostly errcheck on defer/Close statements)
**Integration Tests:** ✅ All pass
**Metrics:** 55,622 LOC across 200 Go files
**Git:** 3 files modified (dead code removal)


Run final validation and cleanup checks

## Validation Results

**Dead Code:** ✅ Found and removed 1 unreachable function (`DroppedEventsCount`)
**Tests:** ✅ All pass
**Coverage:**
- Main: 39.6%
- cmd/bd: 20.2%
- Created follow-up issues (bd-85487065 through bd-bc2c6191) to improve coverage

**Build:** ✅ Clean
**Linting:** 73 issues (up from 34 baseline)
- Increase due to unused functions from refactoring
- Need cleanup in separate issue

**Integration Tests:** ✅ All pass
**Metrics:** 56,464 LOC across 193 Go files
**Git:** 2 files modified (deadcode fix + auto-synced JSONL)

## Follow-up Issues Created
- bd-85487065: Add tests for internal/autoimport (0% coverage)
- bd-0dcea000: Add tests for internal/importer (0% coverage)
- bd-4d7fca8a: Add tests for internal/utils (0% coverage)
- bd-6221bdcd: Improve cmd/bd coverage (20.2% -> target higher)
- bd-bc2c6191: Improve internal/daemon coverage (22.5% -> target higher)


Latency test


Handle unchecked errors (errcheck - 683 issues)

683 unchecked error returns, mostly in tests (Close, Rollback, RemoveAll). Many already excluded in config but still showing up.

Review .golangci.yml exclude-rules. Most defer Close/Rollback errors in tests can be ignored. Add systematic exclusions or explicit _ = assignments where appropriate.

Fixed all errcheck warnings in production code:
- Enabled errcheck linter (was disabled)
- Set tests: false in .golangci.yml to focus on production code
- Fixed 27 total errors in production code using Oracle guidance:
  * Database patterns: defer func() { _ = rows.Close() }() and defer func() { _ = tx.Rollback() }()
  * Best-effort closers: _ = store.Close(), _ = client.Close()
  * Proper error handling for file writes, fmt.Scanln(), os.Remove()
- All tests pass
- Only 2 "unused" linter warnings remain (not errcheck)


Repair Commands & AI-Assisted Tooling

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

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

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


bd resolve-conflicts - Git merge conflict resolver

Automatically resolve JSONL merge conflicts.

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

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

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


Remove obsolete stale.go command (executor tables never implemented)


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.


Reduce sync rounds in multiclone tests

Analyze and reduce the number of sync rounds in hash multiclone tests.

Current state:
- TestHashIDs_MultiCloneConverge: 1 round of syncs across 3 clones
- TestHashIDs_IdenticalContentDedup: 2 rounds across 2 clones

Investigation needed:
- Profile to see how much time each sync takes
- Determine minimum rounds needed for convergence
- Consider making rounds configurable via env var

File: beads_hash_multiclone_test.go:70, :132


Issue 1 to reopen


Add import.orphan_handling config option

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


Add unit tests for import ordering

Test topological sort: import [child, parent] should succeed, import [parent.1.2, parent, parent.1] should sort correctly. Verify depth-based batching works. Test max depth limits.


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.

## API Design

Add to `cmd/bd/tips.go`:

```go
// InjectTip adds a dynamic tip to the registry at runtime
func InjectTip(id, message string, priority int, frequency time.Duration, probability float64, condition func() bool) {
    tipsMutex.Lock()
    defer tipsMutex.Unlock()

    tips = append(tips, Tip{
        ID:          id,
        Condition:   condition,
        Message:     message,
        Frequency:   frequency,
        Priority:    priority,
        Probability: probability,
    })
}

// RemoveTip removes a tip from the registry
func RemoveTip(id string) {
    tipsMutex.Lock()
    defer tipsMutex.Unlock()

    for i, tip := range tips {
        if tip.ID == id {
            tips = append(tips[:i], tips[i+1:]...)
            return
        }
    }
}
```

## Use Cases

### Example 1: Critical Security Update
```go
// In bd version check code
if criticalSecurityUpdate {
    InjectTip(
        "security_update",
        fmt.Sprintf("CRITICAL: Security update available (bd %s). Update immediately!", remoteVersion),
        100,         // Highest priority
        0,           // No frequency limit
        1.0,         // Always show (100% probability)
        func() bool { return true },
    )
}
```

### Example 2: New Version Available
```go
// In bd version check code
if remoteVersion > currentVersion {
    InjectTip(
        "upgrade_available",
        fmt.Sprintf("New bd version %s available (you have %s). Run: go install github.com/steveyegge/beads/cmd/bd@latest", remoteVersion, currentVersion),
        90,          // High priority
        7 * 24 * time.Hour,  // Weekly
        0.8,         // 80% probability (frequent but not always)
        func() bool { return true },
    )
}
```

### Example 3: Large Issue Count Suggestion
```go
// In bd list code
if issueCount > 100 {
    InjectTip(
        "use_filters",
        "You have many issues. Use filters: 'bd list --status=open --priority=1'",
        50,          // Medium priority
        14 * 24 * time.Hour,  // Bi-weekly
        0.4,         // 40% probability (occasional suggestion)
        func() bool { return true },
    )
}
```

### Example 4: No Dependencies Used
```go
// After analyzing project
if hasIssues && noDependenciesCreated {
    InjectTip(
        "try_dependencies",
        "Try using dependencies: 'bd dep <issue> <blocks-issue>' to track blockers",
        30,          // Low priority
        30 * 24 * time.Hour,  // Monthly
        0.3,         // 30% probability (low-key suggestion)
        func() bool { return true },
    )
}
```

## Probability Guidelines

- **1.0 (100%)**: Critical security, breaking changes, data loss prevention
- **0.7-0.9 (70-90%)**: Important updates, major new features
- **0.4-0.6 (40-60%)**: General tips, workflow improvements, feature discovery
- **0.1-0.3 (10-30%)**: Nice-to-know features, advanced tips, optional optimizations

## Thread Safety
- Use mutex to protect tip registry
- Safe for concurrent command execution
- Deterministic testing via BEADS_TIP_SEED env var

- InjectTip() API exists and is documented
- RemoveTip() API exists
- Thread-safe with mutex protection
- Can inject tips from any command
- Injected tips participate in priority/frequency rotation
- Unit tests for injection API
- Example usage in code comments


Investigate jujutsu VCS as potential solution for conflict-free merging

## Context
Current N-way collision resolution struggles with Git line-based merge model. When 5+ clones create issues with same ID, Git merge conflicts require manual resolution, and our collision resolver can fail during convergence rounds.

## Research Question
Could jujutsu (jj) provide better conflict handling for JSONL files?

## Jujutsu Overview
- Next-gen VCS built on libgit2
- Designed to handle conflicts as first-class citizens
- Supports conflict-free replicated data types (CRDTs) in some scenarios
- Better handling of concurrent edits
- Can work with Git repos (compatible with existing infrastructure)

## Investigation Tasks
1. JSONL Merge Behavior - How does jj handle line-by-line JSONL conflicts?
2. Integration Feasibility - Can beads use jj as backend while maintaining Git compatibility?
3. Conflict Resolution Model - Does jj conflict model map to our collision resolution?
4. Operational Transform Support - Does jj implement operational transforms?

## Deliverables
1. Technical report on jj merge algorithm for JSONL
2. Proof-of-concept: 5-clone collision test using jj instead of Git
3. Performance comparison: Git vs jj for beads workload
4. Recommendation: Adopt, experiment further, or abandon

## References
- https://github.com/martinvonz/jj
- Related to bd-e6d71828, bd-7a2b58fc


Add migration guide for library consumers

The contributor-workflow-analysis.md has excellent migration examples for CLI users (lines 508-549) but lacks examples for library consumers like VC that use beadsLib in Go/TypeScript code.

Library consumers need to know:
- Whether their existing code continues to work unchanged (backward compatibility)
- How config.toml is automatically read (transparent hydration)
- When and how to use explicit multi-repo configuration
- What happens if config.toml doesn't exist (defaults)

Example needed:
```go
// Before (v0.17.3)
store, err := beadsLib.NewSQLiteStorage(".beads/vc.db")

// After (v0.18.0 with multi-repo) - still works!
store, err := beadsLib.NewSQLiteStorage(".beads/vc.db")
// Automatically reads .beads/config.toml if present

// Explicit multi-repo (if needed)
cfg := beadsLib.Config{
    Primary: ".beads/vc.db",
    Additional: []string{"~/.beads-planning"},
}
store, err := beadsLib.NewStorageWithConfig(cfg)
```

- Section added to contributor-workflow-analysis.md for library consumers
- Code examples showing backward compatibility
- Code examples showing explicit multi-repo configuration
- Guidance on when library consumers should use multi-repo vs single-repo


cmd/bd tests fail without -short flag (parallel test deadlock)


bd validate - Comprehensive health check

Run all validation checks in one command.

Checks:
- Duplicates
- Orphaned dependencies
- Test pollution
- Git conflicts

Supports --fix-all for auto-repair.

Depends on bd-cbed9619.1, bd-0dcea000, bd-2752a7a2, bd-9826b69a.

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


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)


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

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

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

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


Add tests for internal/autoimport package

Currently 0.0% coverage. Need tests for auto-import functionality that detects and imports updated JSONL files.


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).


Test issue 1


Publish @beads/bd package to npm registry

Publish the npm package to the public npm registry:

## Prerequisites
- npm account created
- Organization @beads created (or use different namespace)
- npm login completed locally
- Package tested locally (bd-f282 completed)

## Publishing steps
1. Verify package.json version matches current bd version
2. Run npm pack and inspect tarball contents
3. Test installation from tarball one more time
4. Run npm publish --access public
5. Verify package appears on https://www.npmjs.com/package/@beads/bd
6. Test installation from registry: npm install -g @beads/bd

## Post-publish
- Add npm badge to README.md
- Update CHANGELOG.md with npm package release
- Announce in release notes

## Note
- May need to choose different name if @beads namespace unavailable
- Alternative: beads-cli, bd-cli, or unscoped beads-issue-tracker


Testing event-driven mode!


Daemon gets stuck when auto-import blocked by git conflicts

CRITICAL: The daemon enters a corrupt state that breaks RPC commands when auto-import is triggered but git pull fails due to uncommitted changes.

Impact: This is a data integrity and usability issue that could cause users to lose trust in Beads. The daemon silently fails for certain commands while appearing healthy.

Reproduction:
1. Make local changes to issues (creates uncommitted .beads/beads.jsonl)
2. Remote has updates (JSONL newer, triggers auto-import)
3. Daemon tries to pull but fails: 'cannot pull with rebase: You have unstaged changes'
4. Daemon enters bad state - 'bd show' and other commands return EOF
5. 'bd list' still works, daemon process is running, no errors logged

Technical details:
- Auto-import check runs in handleRequest() before processing RPC commands
- When import is blocked, it appears to corrupt daemon state
- Likely: deadlock, unclosed transaction, or storage handle corruption
- Panic recovery (server_lifecycle_conn.go:183) didn't catch anything - not a panic

Required fix:
- Auto-import must not block RPC command execution
- Handle git pull failures gracefully without corrupting state
- Consider: skip auto-import if git is dirty, queue import for later, or use separate goroutine
- Add timeout/circuit breaker for import operations
- Log clear warnings when auto-import is skipped

Without this fix, users in collaborative environments will frequently encounter mysterious EOF errors that require daemon restarts.

Options to fix:

1. Skip auto-import when git is dirty (safest, simplest)
   - Check git status before pull
   - Log warning and continue without import
   - User must manually import after cleaning git state

2. Async import with timeout (better UX)
   - Run auto-import in background goroutine
   - Don't block RPC command execution
   - Timeout after 5s, log error if stuck
   - Use sync.Once or similar to prevent concurrent imports

3. Transactional import with rollback
   - Wrap import in database transaction
   - Rollback if git operations fail
   - Ensure storage is never left in bad state

Recommended: Combine #1 and #2
- Check git status first, skip if dirty
- If clean, do async import with timeout
- Add metrics to track import success/failure rates


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


Daemon race condition: stale export overwrites recent DB changes

**Symptom:**
Merged bd-fc2d into bd-fb05 in ~/src/beads (commit ce4d756), pushed to remote. The ~/src/fred/beads daemon then exported its stale DB state and committed (8cc1bb4), reverting bd-fc2d back to "open" status.

**Timeline:**
1. 21:45:12 - Merge committed from ~/src/beads (ce4d756): bd-fc2d closed
2. 21:49:42 - Daemon in ~/src/fred/beads exported stale state (8cc1bb4): bd-fc2d open again

**Root cause:**
The fred/beads daemon had a stale database (bd-fc2d still open) and didn't auto-import the newer JSONL before exporting. When it exported, it overwrote the merge with its stale state.

**Expected behavior:**
Daemon should detect that JSONL is newer than its last export and import before exporting.

**Actual behavior:**
Daemon exported stale DB state, creating a conflicting commit that reverted upstream changes.

**Impact:**
Multi-workspace setups with daemons can silently lose changes if one daemon has stale state and exports.


Remove unreachable RPC methods

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

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

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

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

Impact: Removes ~80 LOC of unused RPC code

- Remove the 4 unreachable methods (~80 LOC total)
- Verify no callers: `grep -r "GetLastImportTime\|SetLastImportTime\|findJSONLPath" .`
- All tests pass: `go test ./internal/rpc/...`
- Daemon functionality works: test daemon start/stop/operations


Fix Windows-specific test failures in CI

Several tests are failing on Windows but passing on Linux:

**Failing tests:**
- TestFindDatabasePathEnvVar
- TestHashIDs_MultiCloneConverge
- TestHashIDs_IdenticalContentDedup
- TestDatabaseReinitialization (all 5 subtests):
  - fresh_clone_auto_import
  - database_removal_scenario
  - legacy_filename_support
  - precedence_test
  - init_safety_check
- TestFindBeadsDir_NotFound
- TestMetricsSnapshot/uptime (in internal/rpc)

**CI Run:** https://github.com/steveyegge/beads/actions/runs/19015638968

These are likely path separator or filesystem behavior differences between Windows and Linux.

Fixed all Windows path issues:
1. TestFindDatabasePathEnvVar - expects canonicalized paths ✅
2. TestHashIDs tests - use platform-specific bd.exe command ✅
3. TestMetricsSnapshot/uptime - enforce minimum 1 second uptime ✅
4. TestFindBeadsDir_NotFound - allow finding .beads in parent dirs ✅
5. TestDatabaseReinitialization - fix git path conversion on Windows (git returns /c/Users/... but filepath needs C:\Users\...) ✅

CI run in progress to verify all fixes.


bd-hv01: Race condition with concurrent snapshot operations

## Problem
Snapshot files have no locking. Multiple processes can call captureLeftSnapshot simultaneously:

1. Process A: export → begins snapshot
2. Process B: export → begins snapshot
3. Process A: writes partial left.jsonl
4. Process B: overwrites with its left.jsonl
5. Process A: completes merge with wrong snapshot

## Impact
- Data corruption in multi-process scenarios
- Daemon + manual sync race
- Multiple git clones on same filesystem

## Fix
Use atomic file operations with process-specific temp files:
```go
func captureLeftSnapshot(jsonlPath string) error {
    _, leftPath := getSnapshotPaths(jsonlPath)
    tempPath := fmt.Sprintf("%s.%d.tmp", leftPath, os.Getpid())
    if err := copyFileSnapshot(jsonlPath, tempPath); err != nil {
        return err
    }
    return os.Rename(tempPath, leftPath) // Atomic on POSIX
}
```

## Files Affected
- cmd/bd/deletion_tracking.go:24-29 (captureLeftSnapshot)
- cmd/bd/deletion_tracking.go:31-36 (updateBaseSnapshot)


Add depth-based batch creation in upsertIssues

Replace single batch creation with depth-level batching (max depth 3). Create issues at depth 0, then 1, then 2, then 3. Prevents parent validation errors when importing hierarchical issues in same batch. File: internal/importer/importer.go:534-546


Test update


Auto-routing and maintainer detection

Implement intelligent routing to automatically send new issues to correct repo based on user's maintainer vs contributor status, with discovered issues inheriting parent's source_repo.

Features:
- Detect maintainer vs contributor (git config, permissions)
- Config-based routing rules (no schema changes)
- Auto-route 'bd add' to primary or planning repo
- Discovered issues inherit parent's source_repo
- Explicit override via --repo flag

Config schema:
[routing]
mode = "auto"  # auto | explicit
default = "~/.beads-planning"
[routing.auto]
maintainer = "."
contributor = "~/.beads-planning"

1. Auto-detect maintainer vs contributor status
2. Route bd add to correct repo automatically
3. Discovered issues inherit parent's source_repo
4. --repo flag overrides auto-routing
5. Config allows explicit routing rules
6. Works without breaking single-repo workflows


Debug test


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

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

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

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

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

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

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

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

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

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

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


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


Support Ubuntu 20.04 LTS (glibc compatibility issue)

Starting at v0.22, precompiled binaries require GLIBC 2.32+ which is not available on Ubuntu 20.04 LTS (Focal Fossa). Ubuntu 20.04 has GLIBC 2.31.

Error:
```
bd: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.34' not found (required by bd)
bd: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.32' not found (required by bd)
```

Current workarounds:
1. Upgrade to Ubuntu 22.04+
2. Build from source: `go build -o bd ./cmd/bd/`

Root cause: Go 1.24+ runtime requires newer glibc. CGO is already disabled in .goreleaser.yml.

Possible solutions:
- Pin Go version to 1.21 or 1.22 for releases
- Use Docker/cross-compile with older build environment
- Provide separate build for older distros
- Document minimum requirements clearly

Decision: Document minimum requirements in README instead of pinning Go version.

Rationale:
- Ubuntu 20.04 LTS standard support ended April 2025 (already EOL)
- Pinning Go prevents security fixes, performance improvements, and new features
- Users on EOL distros can upgrade OS or build from source
- Added Requirements section to README with clear glibc 2.32+ requirement


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.

Components:
- Migration guide documentation
- bd migrate command to move issues between repos
- bd init --contributor wizard for OSS setup
- bd init --team wizard for team setup
- Auto-detect scenarios and prompt users
- Examples for common workflows (OSS, multi-phase, personas)

Scenarios:
1. OSS contributor (fork workflow)
2. Team member (branch workflow)
3. Multi-phase development
4. Multiple personas (architect/implementer)

1. Migration guide covers all scenarios
2. bd migrate moves issues with filtering
3. Init wizards guide common setups
4. Examples demonstrate key workflows
5. Auto-detection prompts users when appropriate
6. Docs updated with multi-repo patterns
7. Backward compatibility clearly documented


BG's issue to reopen


MCP server loses workspace context after Amp restart - causes silent failures

**CRITICAL BUG**: The beads MCP server loses workspace context when Amp restarts, leading to silent failures and potential data corruption.

## Reproduction
1. Start Amp with beads MCP server configured
2. Call `mcp__beads__set_context(workspace_root="/path/to/project")`
3. Use MCP tools successfully (e.g., `mcp__beads__show`, `mcp__beads__list`)
4. Restart Amp (new thread/session)
5. Try to use MCP tools without calling `set_context` again
6. **Result**: "Not connected" or "No workspace set" errors

## Impact
- Amp agents silently fail when trying to read/update beads issues
- May attempt to create duplicate issues because they can't see existing ones
- Potential for data corruption if operating on wrong database
- Breaks multi-session workflows
- Creates confusion: CLI works (`./bd`) but MCP tools don't

## Current Workaround
Manually call `mcp__beads__set_context()` at start of every Amp session.

## Root Cause
MCP server is stateful and doesn't persist workspace context across restarts.

## Proposed Fix
**Option 1 (Best)**: Auto-detect workspace from current working directory
- Match behavior of CLI `./bd` commands
- Check for `.beads/` directory in current dir or parents
- No manual context setting needed

**Option 2**: Persist context in MCP server state file
- Save last workspace_root to `~/.config/beads/mcp_context.json`
- Restore on server startup

**Option 3**: Require explicit context in every MCP call
- Add optional `workspace_root` parameter to all MCP tools
- Fall back to saved context if not provided

Acceptance:
- MCP tools work across Amp restarts without manual set_context()
- Auto-detection matches CLI behavior (walks up from CWD)
- Clear error message when no workspace found
- set_context() still works for explicit override
- BEADS_WORKING_DIR env var support
- Integration test validates restart behavior

**Recommended Implementation: Option 1 (Auto-detect)**

1. Workspace Discovery Algorithm (same as CLI):
   - Start from CWD or provided directory
   - Walk up directory tree looking for .beads/beads.db
   - Cache result for performance

2. MCP Tool Wrapper Changes:
   - Before each MCP tool execution, check if workspace is set
   - If not set, try auto-detection from CWD
   - If found, auto-connect and cache
   - If not found, return clear error with instructions

3. Fallback Behavior:
   - Auto-detect from CWD first
   - Check BEADS_WORKING_DIR env var
   - Check ~/.config/beads/last_workspace (persisted)
   - Return actionable error if all fail

4. Backwards Compatibility:
   - Keep set_context() working for explicit control
   - Auto-detect is always tried first if no explicit context
   - set_context() takes precedence over auto-detect


Add tests for bd init --contributor wizard

Write integration tests for the contributor wizard:
- Test fork detection logic
- Test planning repo creation
- Test config setup
- Test with/without upstream remote
- Test with SSH vs HTTPS origins


Clean up linter errors (914 total issues)

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

Break down by linter category, prioritizing high-impact issues:
1. dupl (7) - Code duplication
2. goconst (12) - Repeated strings
3. gocyclo (11) - High complexity functions
4. revive (78) - Style issues
5. gosec (102) - Security warnings
6. errcheck (683) - Unchecked errors (many in tests)

All linter categories reduced to acceptable levels, with remaining baseline documented in LINTING.md

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

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

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

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

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


Add bd hooks install command to embed git hooks in binary

Currently git hooks are installed via `examples/git-hooks/install.sh`, which only exists in the beads source repo. Users who install bd via installer/homebrew/npm can't easily install hooks.

**Proposal:**
Add `bd hooks install` command that:
- Embeds hook scripts in the bd binary (using go:embed)
- Installs them to .git/hooks/ in current repo
- Backs up existing hooks
- Makes them executable

**Commands:**
- `bd hooks install` - Install all hooks
- `bd hooks uninstall` - Remove hooks
- `bd hooks list` - Show installed hooks status

**Benefits:**
- Works for all bd users, not just source repo users
- More discoverable (shows in bd --help)
- Consistent with bd workflow
- Can version hooks with bd releases


Extract hash ID generation functions to hash_ids.go

Move generateHashID, getNextChildNumber, GetNextChildID to hash_ids.go


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).

## Epic Scope

This epic covers:
1. Core `bd prime` command implementation with MCP-aware output
2. Claude Code hooks via `bd setup claude` (works with MCP OR CLI)
3. Automatic context recovery via SessionStart/PreCompact hooks
4. `bd doctor` verification for Claude setup
5. Documentation updates

## Goals
- Keep bd workflow fresh in agent context (prevent markdown TODO reversion)
- Enable automatic context recovery after compaction/clear
- Adapt to user's workflow preference (MCP vs CLI) automatically
- Support multi-user projects (mixed Claude/non-Claude teams)
- Verify setup with `bd doctor`

## Architecture Understanding

**MCP vs CLI is a user preference (not project-level):**
- User installs MCP server globally → gets native bd tools
- User doesn't install MCP → uses CLI via Bash tool
- `bd prime` auto-detects which mode and adapts output
- Same hooks work for all users regardless of preference

**Hooks complement both approaches:**
- **With MCP**: Hooks output workflow reminders (~500 tokens) - prevents forgetting to use MCP tools
- **Without MCP**: Hooks output full CLI reference (~1-2k tokens) - provides command syntax
- **Both cases**: Prevents markdown TODO reversion after compaction

**Why hooks matter even with MCP:**
- MCP tools can be forgotten after compaction
- Hooks refresh "use bd, not markdown" reminder
- PreCompact keeps bd workflow fresh in memory
- Works in both MCP and CLI scenarios

## Token Optimization

**MCP mode** (~500 tokens):
- Workflow reminders only
- No CLI syntax (user has native tools)
- References to MCP tool names

**Non-MCP mode** (~1-2k tokens):
- Full workflow rules
- Complete CLI command reference
- Examples and common patterns

**Why adaptive output matters:**
- MCP users waste tokens on CLI docs they don't need
- Non-MCP users need full command reference
- Same hook works for everyone, adapts automatically
- Multi-user projects: each dev gets appropriate output for their setup

## Out of Scope
- Tip system infrastructure (separate epic)
- Cursor/Windsurf integration (separate issues)
- MCP server modifications

- `bd prime` command exists and outputs AI-optimized markdown
- `bd setup claude` installs hooks and slash commands
- Hooks auto-call `bd prime` when .beads/ detected
- `bd doctor` verifies Claude integration
- Documentation complete in AGENTS.md, README.md, QUICKSTART.md
- All child issues closed


Rapid 5


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.


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.


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


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.


Update AGENTS.md with event-driven mode

Document BEADS_DAEMON_MODE env var. Explain opt-in during Phase 1. Add troubleshooting for watcher failures.


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

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

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

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

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

Where suffix is first 4 chars of clone UUID.

## Implementation

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

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

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

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

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

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

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

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

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

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


Backend task