# bd - Beads Issue Tracker 🔗 **Issues chained together like beads.** A lightweight, dependency-aware issue tracker designed for AI-supervised coding workflows. Track dependencies, find ready work, and let agents chain together tasks automatically. ## Features - ✨ **Zero setup** - `bd init` creates project-local database - 🔗 **Dependency tracking** - Four dependency types (blocks, related, parent-child, discovered-from) - 📋 **Ready work detection** - Automatically finds issues with no open blockers - 🤖 **Agent-friendly** - `--json` flags for programmatic integration - 📦 **Git-versioned** - JSONL records stored in git, synced across machines - 🌍 **Distributed by design** - Agents on multiple machines share one logical database via git - 🏗️ **Extensible** - Add your own tables to the SQLite database - 🔍 **Project-aware** - Auto-discovers database in `.beads/` directory - 🌲 **Dependency trees** - Visualize full dependency graphs - 🎨 **Beautiful CLI** - Colored output for humans, JSON for bots - 💾 **Full audit trail** - Every change is logged ## Installation ```bash go install github.com/steveyegge/beads/cmd/bd@latest ``` Or build from source: ```bash git clone https://github.com/steveyegge/beads cd beads go build -o bd ./cmd/bd ``` ## Quick Start ### For Humans Beads is designed for **AI coding agents** to use on your behalf. As a human, you typically just: ```bash # 1. Initialize beads in your project bd init # 2. Add a note to your agent instructions (CLAUDE.md, AGENTS.md, etc.) echo "We track work in Beads instead of Markdown. Run \`bd quickstart\` to see how." >> CLAUDE.md # 3. Let agents handle the rest! ``` Most tasks will be created and managed by agents during conversations. You can check on things with: ```bash bd list # See what's being tracked bd show # Review a specific issue bd ready # See what's ready to work on bd dep tree # Visualize dependencies ``` ### For AI Agents Run the interactive guide to learn the full workflow: ```bash bd quickstart ``` Quick reference for agent workflows: ```bash # Find ready work bd ready --json | jq '.[0]' # Create issues during work bd create "Discovered bug" -t bug -p 0 --json # Link discovered work back to parent bd dep add --type discovered-from # Update status bd update --status in_progress --json # Complete work bd close --reason "Implemented" --json ``` ## The Magic: Distributed Database via Git Here's the crazy part: **bd acts like a centralized database, but it's actually distributed via git.** When you install bd on any machine with your project repo, you get: - ✅ Full query capabilities (dependencies, ready work, etc.) - ✅ Fast local operations (<100ms via SQLite) - ✅ Shared state across all machines (via git) - ✅ No server, no daemon, no configuration - ✅ AI-assisted merge conflict resolution **How it works:** 1. Each machine has a local SQLite cache (`.beads/*.db`) - gitignored 2. Source of truth is JSONL (`.beads/issues.jsonl`) - committed to git 3. `bd export` syncs SQLite → JSONL before commits 4. `bd import` syncs JSONL → SQLite after pulls 5. Git handles distribution; AI handles merge conflicts **The result:** Agents on your laptop, your desktop, and your coworker's machine all query and update what *feels* like a single shared database, but it's really just git doing what git does best - syncing text files across machines. No PostgreSQL instance. No MySQL server. No hosted service. Just install bd, clone the repo, and you're connected to the "database." ## Usage ### Creating Issues ```bash bd create "Fix bug" -d "Description" -p 1 -t bug bd create "Add feature" --description "Long description" --priority 2 --type feature bd create "Task" -l "backend,urgent" --assignee alice # Get JSON output for programmatic use bd create "Fix bug" -d "Description" --json ``` Options: - `-d, --description` - Issue description - `-p, --priority` - Priority (0-4, 0=highest) - `-t, --type` - Type (bug|feature|task|epic|chore) - `-a, --assignee` - Assign to user - `-l, --labels` - Comma-separated labels - `--json` - Output in JSON format ### Viewing Issues ```bash bd show bd-1 # Show full details bd list # List all issues bd list --status open # Filter by status bd list --priority 1 # Filter by priority bd list --assignee alice # Filter by assignee # JSON output for agents bd list --json bd show bd-1 --json ``` ### Updating Issues ```bash bd update bd-1 --status in_progress bd update bd-1 --priority 2 bd update bd-1 --assignee bob bd close bd-1 --reason "Completed" bd close bd-1 bd-2 bd-3 # Close multiple # JSON output bd update bd-1 --status in_progress --json bd close bd-1 --json ``` ### Dependencies ```bash # Add dependency (bd-2 depends on bd-1) bd dep add bd-2 bd-1 bd dep add bd-3 bd-1 --type blocks # Remove dependency bd dep remove bd-2 bd-1 # Show dependency tree bd dep tree bd-2 # Detect cycles bd dep cycles ``` ### Finding Work ```bash # Show ready work (no blockers) bd ready bd ready --limit 20 bd ready --priority 1 bd ready --assignee alice # Show blocked issues bd blocked # Statistics bd stats # JSON output for agents bd ready --json ``` ## Database Discovery bd automatically discovers your database in this order: 1. `--db` flag: `bd --db /path/to/db.db create "Issue"` 2. `$BEADS_DB` environment variable: `export BEADS_DB=/path/to/db.db` 3. `.beads/*.db` in current directory or ancestors (walks up like git) 4. `~/.beads/default.db` as fallback This means you can: - Initialize per-project databases with `bd init` - Work from any subdirectory (bd finds the database automatically) - Override for testing or multiple projects Example: ```bash # Initialize in project root cd ~/myproject bd init --prefix myapp # Work from any subdirectory cd ~/myproject/src/components bd create "Fix navbar bug" # Uses ~/myproject/.beads/myapp.db # Override for a different project bd --db ~/otherproject/.beads/other.db list ``` ## Dependency Model Beads has four types of dependencies: 1. **blocks** - Hard blocker (affects ready work calculation) 2. **related** - Soft relationship (just for context) 3. **parent-child** - Epic/subtask hierarchy 4. **discovered-from** - Tracks issues discovered while working on another issue Only `blocks` dependencies affect the ready work queue. ### Dependency Type Usage - **blocks**: Use when issue X cannot start until issue Y is completed ```bash bd dep add bd-5 bd-3 --type blocks # bd-5 blocked by bd-3 ``` - **related**: Use for issues that are connected but don't block each other ```bash bd dep add bd-10 bd-8 --type related # bd-10 related to bd-8 ``` - **parent-child**: Use for epic/subtask hierarchies ```bash bd dep add bd-15 bd-12 --type parent-child # bd-15 is child of epic bd-12 ``` - **discovered-from**: Use when you discover new work while working on an issue ```bash # While working on bd-20, you discover a bug bd create "Fix edge case bug" -t bug -p 1 bd dep add bd-21 bd-20 --type discovered-from # bd-21 discovered from bd-20 ``` The `discovered-from` type is particularly useful for AI-supervised workflows, where the AI can automatically create issues for discovered work and link them back to the parent task. ## AI Agent Integration bd is designed to work seamlessly with AI coding agents: ```bash # Agent discovers ready work WORK=$(bd ready --limit 1 --json) ISSUE_ID=$(echo $WORK | jq -r '.[0].id') # Agent claims and starts work bd update $ISSUE_ID --status in_progress --json # Agent discovers new work while executing bd create "Fix bug found in testing" -t bug -p 0 --json > new_issue.json NEW_ID=$(cat new_issue.json | jq -r '.id') bd dep add $NEW_ID $ISSUE_ID --type discovered-from # Agent completes work bd close $ISSUE_ID --reason "Implemented and tested" --json ``` The `--json` flag on every command makes bd perfect for programmatic workflows. ## Ready Work Algorithm An issue is "ready" if: - Status is `open` - It has NO open `blocks` dependencies - All blockers are either closed or non-existent Example: ``` bd-1 [open] ← blocks ← bd-2 [open] ← blocks ← bd-3 [open] ``` Ready work: `[bd-1]` Blocked: `[bd-2, bd-3]` ## Issue Lifecycle ``` open → in_progress → closed ↓ blocked (manually set, or has open blockers) ``` ## Architecture ``` beads/ ├── cmd/bd/ # CLI entry point │ ├── main.go # Core commands (create, list, show, update, close) │ ├── init.go # Project initialization │ ├── quickstart.go # Interactive guide │ └── ... ├── internal/ │ ├── types/ # Core data types (Issue, Dependency, etc.) │ └── storage/ # Storage interface │ └── sqlite/ # SQLite implementation └── EXTENDING.md # Database extension guide ``` ## Extending bd Applications can extend bd's SQLite database with their own tables. See [EXTENDING.md](EXTENDING.md) for the full guide. Quick example: ```sql -- Add your own tables to .beads/myapp.db CREATE TABLE myapp_executions ( id INTEGER PRIMARY KEY, issue_id TEXT NOT NULL, status TEXT NOT NULL, started_at DATETIME, FOREIGN KEY (issue_id) REFERENCES issues(id) ); -- Query across layers SELECT i.*, e.status as execution_status FROM issues i LEFT JOIN myapp_executions e ON i.id = e.issue_id WHERE i.status = 'in_progress'; ``` This pattern enables powerful integrations while keeping bd simple and focused. ## Comparison to Other Tools | Feature | bd | GitHub Issues | Jira | Linear | |---------|-------|---------------|------|--------| | Zero setup | ✅ | ❌ | ❌ | ❌ | | Dependency tracking | ✅ | ⚠️ | ✅ | ✅ | | Ready work detection | ✅ | ❌ | ❌ | ❌ | | Agent-friendly (JSON) | ✅ | ⚠️ | ⚠️ | ⚠️ | | Distributed via git | ✅ | ❌ | ❌ | ❌ | | Works offline | ✅ | ❌ | ❌ | ❌ | | AI-resolvable conflicts | ✅ | ❌ | ❌ | ❌ | | Extensible database | ✅ | ❌ | ❌ | ❌ | | No server required | ✅ | ❌ | ❌ | ❌ | ## Why bd? **bd is designed for AI coding agents, not humans.** Traditional issue trackers (Jira, GitHub Issues, Linear) assume humans are the primary users. Humans click through web UIs, drag cards on boards, and manually update status. bd assumes **AI agents are the primary users**, with humans supervising: - **Agents discover work** - `bd ready --json` gives agents unblocked tasks to execute - **Dependencies prevent wasted work** - Agents don't duplicate effort or work on blocked tasks - **Discovery during execution** - Agents create issues for work they discover while executing, linked with `discovered-from` - **Agents lose focus** - Long-running conversations can forget tasks; bd remembers everything - **Humans supervise** - Check on progress with `bd list` and `bd dep tree`, but don't micromanage In human-managed workflows, issues are planning artifacts. In agent-managed workflows, **issues are memory** - preventing agents from forgetting tasks during long coding sessions. Traditional issue trackers were built for human project managers. bd is built for autonomous agents. ## Architecture: JSONL + SQLite bd uses a dual-storage approach: - **JSONL files** (`.beads/issues.jsonl`) - Source of truth, committed to git - **SQLite database** (`.beads/*.db`) - Ephemeral cache for fast queries, gitignored This gives you: - ✅ **Git-friendly storage** - Text diffs, AI-resolvable conflicts - ✅ **Fast queries** - SQLite indexes for dependency graphs - ✅ **Simple workflow** - Export before commit, import after pull - ✅ **No daemon required** - In-process SQLite, ~10-100ms per command When you run `bd create`, it writes to SQLite. Before committing to git, run `bd export` to sync to JSONL. After pulling, run `bd import` to sync back to SQLite. Git hooks can automate this. ## Export/Import (JSONL Format) bd can export and import issues as JSON Lines (one JSON object per line). This is perfect for git workflows and data portability. ### Export Issues ```bash # Export all issues to stdout bd export --format=jsonl # Export to file bd export --format=jsonl -o issues.jsonl # Export filtered issues bd export --format=jsonl --status=open -o open-issues.jsonl ``` Issues are exported sorted by ID for consistent git diffs. ### Import Issues ```bash # Import from stdin cat issues.jsonl | bd import # Import from file bd import -i issues.jsonl # Skip existing issues (only create new ones) bd import -i issues.jsonl --skip-existing ``` Import behavior: - Existing issues (same ID) are **updated** with new values - New issues are **created** - All imports are atomic (all or nothing) ### JSONL Format Each line is a complete JSON issue object: ```jsonl {"id":"bd-1","title":"Fix login bug","status":"open","priority":1,"issue_type":"bug","created_at":"2025-10-12T10:00:00Z","updated_at":"2025-10-12T10:00:00Z"} {"id":"bd-2","title":"Add dark mode","status":"in_progress","priority":2,"issue_type":"feature","created_at":"2025-10-12T11:00:00Z","updated_at":"2025-10-12T12:00:00Z"} ``` ## Git Workflow **Recommended approach**: Use JSONL export as source of truth, SQLite database as ephemeral cache (not committed to git). ### Setup Add to `.gitignore`: ``` .beads/*.db .beads/*.db-* ``` Add to git: ``` .beads/issues.jsonl ``` ### Workflow ```bash # Export before committing bd export -o .beads/issues.jsonl git add .beads/issues.jsonl git commit -m "Update issues" git push # Import after pulling git pull bd import -i .beads/issues.jsonl ``` ### Automated with Git Hooks Create `.git/hooks/pre-commit`: ```bash #!/bin/bash bd export -o .beads/issues.jsonl git add .beads/issues.jsonl ``` Create `.git/hooks/post-merge`: ```bash #!/bin/bash bd import -i .beads/issues.jsonl ``` Make hooks executable: ```bash chmod +x .git/hooks/pre-commit .git/hooks/post-merge ``` ### Why JSONL? - ✅ **Git-friendly**: One line per issue = clean diffs - ✅ **Mergeable**: Concurrent appends rarely conflict - ✅ **Human-readable**: Easy to review changes - ✅ **Scriptable**: Use `jq`, `grep`, or any text tools - ✅ **Portable**: Export/import between databases ### Handling Conflicts When two developers create new issues: ```diff {"id":"bd-1","title":"First issue",...} {"id":"bd-2","title":"Second issue",...} +{"id":"bd-3","title":"From branch A",...} +{"id":"bd-4","title":"From branch B",...} ``` Git may show a conflict, but resolution is simple: **keep both lines** (both changes are compatible). See **[TEXT_FORMATS.md](TEXT_FORMATS.md)** for detailed analysis of JSONL merge strategies and conflict resolution. ## Documentation - **[README.md](README.md)** - You are here! Complete guide - **[TEXT_FORMATS.md](TEXT_FORMATS.md)** - JSONL format analysis and merge strategies - **[GIT_WORKFLOW.md](GIT_WORKFLOW.md)** - Historical analysis of binary vs text approaches - **[EXTENDING.md](EXTENDING.md)** - Database extension patterns - Run `bd quickstart` for interactive tutorial ## Development ```bash # Run tests go test ./... # Build go build -o bd ./cmd/bd # Run ./bd create "Test issue" ``` ## License MIT ## Credits Built with ❤️ by developers who love tracking dependencies and finding ready work. Inspired by the need for a simpler, dependency-aware issue tracker.