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Beads

A distributed issue tracker built on Dolt (version-controlled SQL database) designed for multi-agent parallel development. Excellent for teams running 3+ AI agents on the same codebase. Overkill for single-agent workflows. 23k Stars, MIT licensed, written in Go.

Best For

Teams running multiple AI agents in parallel on the same codebase. When you have 3+ agents working simultaneously and need to avoid task conflicts, automatically determine which tasks have no blockers, and merge work across branches without ID collisions — Beads is currently the only open-source tool purpose-built for this scenario.

How I Actually Use It

I evaluated it and decided not to adopt it for now. My workflow is a single Claude Code instance with one user, so a flat-list task system is sufficient. However, I noted several design patterns worth borrowing: injecting a compact workflow context at session start (~1-2k tokens), hash-based IDs for zero-conflict multi-branch operation, and bd ready for auto-listing executable tasks.

Where It Is Strong

  • Each task gets a hash-based ID (e.g., bd-a3f8.1.1). Multiple agents on different branches create tasks independently, and Dolt's cell-level 3-way merge reconciles them without collisions.
  • bd ready auto-detection: Scans the full dependency graph and lists all tasks whose blockers are cleared. Agents know what to work on next without human assignment.
  • Claude Code integration is first-class: bd setup claude sets up SessionStart hooks that inject workflow context at ~1-2k tokens (vs. 10-50k for MCP schema approaches).
  • Automatically summarizes closed tasks to prevent context window bloat.

Where It Fails

  • If you have one agent, Beads adds Dolt concepts (branching, merging, cell-level conflict resolution) as pure cognitive overhead. A TODO list or Kanban board is enough.
  • Beads only tracks tasks. It does not provide cross-session factual memory or episodic recall.
  • Conceptual barrier: You need to understand Dolt (a version-controlled SQL database), branching semantics, and merge strategies to use it effectively.

Pricing, Difficulty, and Risk

Fully free and open source (MIT). Installation is trivial: brew install beads or npm install -g @beads/bd, defaults to Embedded Mode with zero server setup. The real barrier is understanding the distributed task management mental model, not the installation. Risk is low: 23k Stars, active development, latest release v1.0.3 on 2026-04-24.

Verdict

For multi-agent parallel development, Beads has no real competitor right now. But it's overengineered for the majority of "one person + one agent" workflows. Confirm you genuinely have a multi-agent parallelism need before adopting. If you're using Claude Code's multi-worktree features or running a multi-worker architecture, give it a test run.

Source

https://github.com/gastownhall/beads