# Instructions for AI Agents Working on Beads > **📖 For detailed development instructions**, see [AGENT_INSTRUCTIONS.md](AGENT_INSTRUCTIONS.md) > > This file provides a quick overview and reference. For in-depth operational details (development, testing, releases, git workflow), consult the detailed instructions. ## Project Overview This is **beads** (command: `bd`), an issue tracker designed for AI-supervised coding workflows. We dogfood our own tool! > **🤖 Using GitHub Copilot?** See [.github/copilot-instructions.md](.github/copilot-instructions.md) for a concise, Copilot-optimized version of these instructions that GitHub Copilot will automatically load. ## 🆕 What's New? **New to bd or upgrading?** Run `bd info --whats-new` to see agent-relevant changes from recent versions: ```bash bd info --whats-new # Human-readable output bd info --whats-new --json # Machine-readable output ``` This shows the last 3 versions with workflow-impacting changes, avoiding the need to re-read all documentation. Examples: - New commands and flags that improve agent workflows - Breaking changes that require workflow updates - Performance improvements and bug fixes - Integration features (MCP, Agent Mail, git hooks) **Why this matters:** bd releases weekly with major versions. This command helps you quickly understand what changed without parsing the full CHANGELOG. ## Human Setup vs Agent Usage **IMPORTANT:** If you need to initialize bd, use the `--quiet` flag: ```bash bd init --quiet # Non-interactive, auto-installs git hooks, no prompts ``` **Why `--quiet`?** Regular `bd init` has interactive prompts (git hooks, merge driver) that confuse agents. The `--quiet` flag makes it fully non-interactive: - Automatically installs git hooks - Automatically configures git merge driver for intelligent JSONL merging - No prompts for user input - Safe for agent-driven repo setup **If the human already initialized:** Just use bd normally with `bd create`, `bd ready`, `bd update`, `bd close`, etc. **If you see "database not found":** Run `bd init --quiet` yourself, or ask the human to run `bd init`. ## Issue Tracking We use bd (beads) for issue tracking instead of Markdown TODOs or external tools. ### MCP Server (Recommended) **RECOMMENDED**: Use the MCP (Model Context Protocol) server for the best experience! The beads MCP server provides native integration with Claude and other MCP-compatible AI assistants. **Installation:** ```bash # Install the MCP server pip install beads-mcp # Add to your MCP settings (e.g., Claude Desktop config) { "beads": { "command": "beads-mcp", "args": [] } } ``` **Benefits:** - Native function calls instead of shell commands - Automatic workspace detection - Better error handling and validation - Structured JSON responses - No need for `--json` flags **All bd commands are available as MCP functions** with the prefix `mcp__beads-*__`. For example: - `bd ready` → `mcp__beads__ready()` - `bd create` → `mcp__beads__create(title="...", priority=1)` - `bd update` → `mcp__beads__update(issue_id="bd-42", status="in_progress")` See `integrations/beads-mcp/README.md` for complete documentation. ### Multi-Repo Configuration (MCP Server) **RECOMMENDED: Use a single MCP server for all beads projects** - it automatically routes to per-project local daemons. **For AI agent multi-repo patterns**, see [docs/MULTI_REPO_AGENTS.md](docs/MULTI_REPO_AGENTS.md) (config options, routing, troubleshooting, best practices). **For complete multi-repo workflow guide**, see [docs/MULTI_REPO_MIGRATION.md](docs/MULTI_REPO_MIGRATION.md) (OSS contributors, teams, multi-phase development). **Setup (one-time):** ```bash # MCP config in ~/.config/amp/settings.json or Claude Desktop config: { "beads": { "command": "beads-mcp", "args": [] } } ``` **How it works (LSP model):** The single MCP server instance automatically: 1. Checks for local daemon socket (`.beads/bd.sock`) in your current workspace 2. Routes requests to the correct **per-project daemon** based on working directory 3. Auto-starts the local daemon if not running (with exponential backoff) 4. **Each project gets its own isolated daemon** serving only its database **Architecture:** ``` MCP Server (one instance) ↓ Per-Project Daemons (one per workspace) ↓ SQLite Databases (complete isolation) ``` **Why per-project daemons?** - ✅ Complete database isolation between projects - ✅ No cross-project pollution or git worktree conflicts - ✅ Simpler mental model: one project = one database = one daemon - ✅ Follows LSP (Language Server Protocol) architecture **Note:** The daemon **auto-starts automatically** when you run any `bd` command (v0.9.11+). To disable auto-start, set `BEADS_AUTO_START_DAEMON=false`. **Version Management:** bd automatically handles daemon version mismatches (v0.16.0+): - When you upgrade bd, old daemons are automatically detected and restarted - Version compatibility is checked on every connection - No manual intervention required after upgrades - Works transparently with MCP server and CLI - Use `bd daemons health` to check for version mismatches - Use `bd daemons killall` to force-restart all daemons if needed **Alternative (not recommended): Multiple MCP Server Instances** If you must use separate MCP servers: ```json { "beads-webapp": { "command": "beads-mcp", "env": { "BEADS_WORKING_DIR": "/Users/you/projects/webapp" } }, "beads-api": { "command": "beads-mcp", "env": { "BEADS_WORKING_DIR": "/Users/you/projects/api" } } } ``` ⚠️ **Problem**: AI may select the wrong MCP server for your workspace, causing commands to operate on the wrong database. ### CLI Quick Reference **Essential commands for AI agents:** ```bash # Find work bd ready --json # Unblocked issues bd stale --days 30 --json # Forgotten issues # Create and manage issues bd create "Issue title" -t bug|feature|task -p 0-4 --json bd create "Found bug" -p 1 --deps discovered-from: --json bd update --status in_progress --json bd close --reason "Done" --json # Search and filter bd list --status open --priority 1 --json bd list --label-any urgent,critical --json bd show --json # Sync (CRITICAL at end of session!) bd sync # Force immediate export/commit/push ``` **For comprehensive CLI documentation**, see [docs/CLI_REFERENCE.md](docs/CLI_REFERENCE.md). ### Managing Daemons bd runs a background daemon per workspace for auto-sync and RPC operations: ```bash bd daemons list --json # List all running daemons bd daemons health --json # Check for version mismatches bd daemons logs . -n 100 # View daemon logs bd daemons killall --json # Restart all daemons ``` **After upgrading bd**: Run `bd daemons killall` to restart all daemons with new version. **For complete daemon management**, see [docs/DAEMON.md](docs/DAEMON.md). ### Web Interface (Monitor) bd includes a built-in web interface for human visualization: ```bash bd monitor # Start on localhost:8080 bd monitor --port 3000 # Custom port ``` **AI agents**: Continue using CLI with `--json` flags. The monitor is for human supervision only. ### Workflow 1. **Check for ready work**: Run `bd ready` to see what's unblocked (or `bd stale` to find forgotten issues) 2. **Claim your task**: `bd update --status in_progress` 3. **Work on it**: Implement, test, document 4. **Discover new work**: If you find bugs or TODOs, create issues: - Old way (two commands): `bd create "Found bug in auth" -t bug -p 1 --json` then `bd dep add --type discovered-from` - New way (one command): `bd create "Found bug in auth" -t bug -p 1 --deps discovered-from: --json` 5. **Complete**: `bd close --reason "Implemented"` 6. **Sync at end of session**: `bd sync` (see "Agent Session Workflow" below) ### Optional: Agent Mail for Multi-Agent Coordination **⚠️ NOT CURRENTLY CONFIGURED** - The mcp-agent-mail server is not set up for this project. Do not attempt to use mcp-agent-mail tools. **For multi-agent workflows only** - if multiple AI agents work on the same repository simultaneously, consider using Agent Mail for real-time coordination: **With Agent Mail enabled:** ```bash # Configure environment (one-time per session) export BEADS_AGENT_MAIL_URL=http://127.0.0.1:8765 export BEADS_AGENT_NAME=assistant-alpha export BEADS_PROJECT_ID=my-project # Workflow (identical commands) bd ready # Shows available work bd update bd-42 --status in_progress # Reserves issue instantly (<100ms) # ... work on issue ... bd close bd-42 "Done" # Releases reservation automatically ``` **Without Agent Mail (git-only mode):** ```bash # No environment variables needed bd ready # Shows available work bd update bd-42 --status in_progress # Updates via git sync (2-5s latency) # ... work on issue ... bd close bd-42 "Done" # Updates via git sync ``` **Key differences:** - **Latency**: <100ms (Agent Mail) vs 2-5s (git-only) - **Collision prevention**: Instant reservation (Agent Mail) vs eventual consistency (git) - **Setup**: Requires server + env vars (Agent Mail) vs zero config (git-only) **When to use Agent Mail:** - ✅ Multiple agents working concurrently - ✅ Frequent status updates (high collision risk) - ✅ Real-time coordination needed **When to skip:** - ✅ Single agent workflows - ✅ Infrequent updates (low collision risk) - ✅ Simplicity preferred over latency See [docs/AGENT_MAIL_QUICKSTART.md](docs/AGENT_MAIL_QUICKSTART.md) for 5-minute setup, or [docs/AGENT_MAIL.md](docs/AGENT_MAIL.md) for complete documentation. Example code in [examples/python-agent/AGENT_MAIL_EXAMPLE.md](examples/python-agent/AGENT_MAIL_EXAMPLE.md). ### Issue Types - `bug` - Something broken that needs fixing - `feature` - New functionality - `task` - Work item (tests, docs, refactoring) - `epic` - Large feature composed of multiple issues (supports hierarchical children) - `chore` - Maintenance work (dependencies, tooling) **Hierarchical children:** Epics can have child issues with dotted IDs (e.g., `bd-a3f8e9.1`, `bd-a3f8e9.2`). Children are auto-numbered sequentially. Up to 3 levels of nesting supported. The parent hash ensures unique namespace - no coordination needed between agents working on different epics. ### Priorities - `0` - Critical (security, data loss, broken builds) - `1` - High (major features, important bugs) - `2` - Medium (nice-to-have features, minor bugs) - `3` - Low (polish, optimization) - `4` - Backlog (future ideas) ### Dependency Types - `blocks` - Hard dependency (issue X blocks issue Y) - `related` - Soft relationship (issues are connected) - `parent-child` - Epic/subtask relationship - `discovered-from` - Track issues discovered during work (automatically inherits parent's `source_repo`) Only `blocks` dependencies affect the ready work queue. **Note:** When creating an issue with a `discovered-from` dependency, the new issue automatically inherits the parent's `source_repo` field. This ensures discovered work stays in the same repository as the parent task. ### Duplicate Detection & Merging AI agents should proactively detect and merge duplicate issues to keep the database clean: **Automated duplicate detection:** ```bash # Find all content duplicates in the database bd duplicates # Automatically merge all duplicates bd duplicates --auto-merge # Preview what would be merged bd duplicates --dry-run # During import bd import -i issues.jsonl --dedupe-after ``` **Detection strategies:** 1. **Before creating new issues**: Search for similar existing issues ```bash bd list --json | grep -i "authentication" bd show bd-41 bd-42 --json # Compare candidates ``` 2. **Periodic duplicate scans**: Review issues by type or priority ```bash bd list --status open --priority 1 --json # High-priority issues bd list --issue-type bug --json # All bugs ``` 3. **During work discovery**: Check for duplicates when filing discovered-from issues ```bash # Before: bd create "Fix auth bug" --deps discovered-from:bd-100 # First: bd list --json | grep -i "auth bug" # Then decide: create new or link to existing ``` **Merge workflow:** ```bash # Step 1: Identify duplicates (bd-42 and bd-43 duplicate bd-41) bd show bd-41 bd-42 bd-43 --json # Step 2: Preview merge to verify bd merge bd-42 bd-43 --into bd-41 --dry-run # Step 3: Execute merge bd merge bd-42 bd-43 --into bd-41 --json # Step 4: Verify result bd dep tree bd-41 # Check unified dependency tree bd show bd-41 --json # Verify merged content ``` **What gets merged:** - ✅ All dependencies from source → target - ✅ Text references updated across ALL issues (descriptions, notes, design, acceptance criteria) - ✅ Source issues closed with "Merged into bd-X" reason - ❌ Source issue content NOT copied (target keeps its original content) **Important notes:** - Merge preserves target issue completely; only dependencies/references migrate - If source issues have valuable content, manually copy it to target BEFORE merging - Cannot merge in daemon mode yet (bd-190); use `--no-daemon` flag - Operation cannot be undone (but git history preserves the original) **Best practices:** - Merge early to prevent dependency fragmentation - Choose the oldest or most complete issue as merge target - Add labels like `duplicate` to source issues before merging (for tracking) - File a discovered-from issue if you found duplicates during work: ```bash bd create "Found duplicates during bd-X" -p 2 --deps discovered-from:bd-X --json ``` ## Development Guidelines > **📋 For complete development instructions**, see [AGENT_INSTRUCTIONS.md](AGENT_INSTRUCTIONS.md) **Quick reference:** - **Go version**: 1.21+ - **Testing**: Use `BEADS_DB=/tmp/test.db` to avoid polluting production database - **Before committing**: Run tests (`go test -short ./...`) and linter (`golangci-lint run ./...`) - **End of session**: Always run `bd sync` to flush/commit/push changes - **Git hooks**: Run `bd hooks install` to ensure DB ↔ JSONL consistency See [AGENT_INSTRUCTIONS.md](AGENT_INSTRUCTIONS.md) for detailed workflows, testing patterns, and operational procedures. ## Current Project Status Run `bd stats` to see overall progress. ### Active Areas - **Core CLI**: Mature, but always room for polish - **Examples**: Growing collection of agent integrations - **Documentation**: Comprehensive but can always improve - **MCP Server**: Implemented at `integrations/beads-mcp/` with Claude Code plugin - **Migration Tools**: Planned (see bd-6) ### 1.0 Milestone We're working toward 1.0. Key blockers tracked in bd. Run: ```bash bd dep tree bd-8 # Show 1.0 epic dependencies ``` ## Common Development Tasks See [AGENT_INSTRUCTIONS.md](AGENT_INSTRUCTIONS.md) for detailed instructions on: - Adding new commands - Adding storage features - Adding examples - Building and testing - Version management - Release process ## Pro Tips for Agents - Always use `--json` flags for programmatic use - **Always run `bd sync` at end of session** to flush/commit/push immediately - Link discoveries with `discovered-from` to maintain context - Check `bd ready` before asking "what next?" - Auto-sync batches changes in 30-second window - use `bd sync` to force immediate flush - Use `--no-auto-flush` or `--no-auto-import` to disable automatic sync if needed - Use `bd dep tree` to understand complex dependencies - Priority 0-1 issues are usually more important than 2-4 - Use `--dry-run` to preview import changes before applying - Hash IDs eliminate collisions - same ID with different content is a normal update - Use `--id` flag with `bd create` to partition ID space for parallel workers (e.g., `worker1-100`, `worker2-500`) ### Checking GitHub Issues and PRs Use `gh` CLI tools for checking issues/PRs (see [AGENT_INSTRUCTIONS.md](AGENT_INSTRUCTIONS.md) for details). ## Building, Testing, Versioning, and Releases See [AGENT_INSTRUCTIONS.md](AGENT_INSTRUCTIONS.md) for complete details on: - Building and testing (`go build`, `go test`) - Version management (`./scripts/bump-version.sh`) - Release process (`./scripts/release.sh`) --- **Remember**: We're building this tool to help AI agents like you! If you find the workflow confusing or have ideas for improvement, create an issue with your feedback. Happy coding! 🔗 ## Issue Tracking with bd (beads) **IMPORTANT**: This project uses **bd (beads)** for ALL issue tracking. Do NOT use markdown TODOs, task lists, or other tracking methods. ### Why bd? - Dependency-aware: Track blockers and relationships between issues - Git-friendly: Auto-syncs to JSONL for version control - Agent-optimized: JSON output, ready work detection, discovered-from links - Prevents duplicate tracking systems and confusion ### Quick Start **FIRST TIME?** Just run `bd init` - it auto-imports issues from git: ```bash bd init --prefix bd ``` **OSS Contributor?** Use the contributor wizard for fork workflows: ```bash bd init --contributor # Interactive setup for separate planning repo ``` **Team Member?** Use the team wizard for branch workflows: ```bash bd init --team # Interactive setup for team collaboration ``` **Check for ready work:** ```bash bd ready --json ``` **Create new issues:** ```bash bd create "Issue title" -t bug|feature|task -p 0-4 --json bd create "Issue title" -p 1 --deps discovered-from:bd-123 --json ``` **Claim and update:** ```bash bd update bd-42 --status in_progress --json bd update bd-42 --priority 1 --json ``` **Complete work:** ```bash bd close bd-42 --reason "Completed" --json ``` ### Issue Types - `bug` - Something broken - `feature` - New functionality - `task` - Work item (tests, docs, refactoring) - `epic` - Large feature with subtasks - `chore` - Maintenance (dependencies, tooling) ### Priorities - `0` - Critical (security, data loss, broken builds) - `1` - High (major features, important bugs) - `2` - Medium (default, nice-to-have) - `3` - Low (polish, optimization) - `4` - Backlog (future ideas) ### Workflow for AI Agents 1. **Check ready work**: `bd ready` shows unblocked issues 2. **Claim your task**: `bd update --status in_progress` 3. **Work on it**: Implement, test, document 4. **Discover new work?** Create linked issue: - `bd create "Found bug" -p 1 --deps discovered-from:` 5. **Complete**: `bd close --reason "Done"` ### Auto-Sync bd automatically syncs with git: - Exports to `.beads/issues.jsonl` after changes (5s debounce) - Imports from JSONL when newer (e.g., after `git pull`) - No manual export/import needed! ### MCP Server (Recommended) If using Claude or MCP-compatible clients, install the beads MCP server: ```bash pip install beads-mcp ``` Add to MCP config (e.g., `~/.config/claude/config.json`): ```json { "beads": { "command": "beads-mcp", "args": [] } } ``` Then use `mcp__beads__*` functions instead of CLI commands. ### Managing AI-Generated Planning Documents AI assistants often create planning and design documents during development: - PLAN.md, IMPLEMENTATION.md, ARCHITECTURE.md - DESIGN.md, CODEBASE_SUMMARY.md, INTEGRATION_PLAN.md - TESTING_GUIDE.md, TECHNICAL_DESIGN.md, and similar files **Best Practice: Use a dedicated directory for these ephemeral files** **Recommended approach:** - Create a `history/` directory in the project root - Store ALL AI-generated planning/design docs in `history/` - Keep the repository root clean and focused on permanent project files - Only access `history/` when explicitly asked to review past planning **Example .gitignore entry (optional):** ``` # AI planning documents (ephemeral) history/ ``` **Benefits:** - ✅ Clean repository root - ✅ Clear separation between ephemeral and permanent documentation - ✅ Easy to exclude from version control if desired - ✅ Preserves planning history for archaeological research - ✅ Reduces noise when browsing the project ### Important Rules - ✅ Use bd for ALL task tracking - ✅ Always use `--json` flag for programmatic use - ✅ Link discovered work with `discovered-from` dependencies - ✅ Check `bd ready` before asking "what should I work on?" - ✅ Store AI planning docs in `history/` directory - ❌ Do NOT create markdown TODO lists - ❌ Do NOT use external issue trackers - ❌ Do NOT duplicate tracking systems - ❌ Do NOT clutter repo root with planning documents For more details, see README.md and QUICKSTART.md.