developer-toolsproductivity

Beads

steveyegge

by steveyegge

Beads — a drop-in memory upgrade for your coding agent that boosts context, speed, and reliability with zero friction.

A drop-in memory upgrade for your coding agent

github stars

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Git-backed with cell-level mergeHash-based IDs prevent merge conflictsCross-platform CLI tool

best for

  • / AI agents working on long-horizon coding projects
  • / Multi-agent development workflows
  • / Persistent task tracking across coding sessions

capabilities

  • / Track development tasks with dependency graphs
  • / Store and retrieve structured project memory
  • / Version control task states with automatic merging
  • / Handle multi-agent workflows without conflicts
  • / Compact old tasks to save context window space
  • / Link related issues with semantic relationships

what it does

Provides a distributed, git-backed issue tracker that gives AI agents persistent structured memory for managing complex coding tasks over time.

about

Beads is an official MCP server published by steveyegge that provides AI assistants with tools and capabilities via the Model Context Protocol. Beads — a drop-in memory upgrade for your coding agent that boosts context, speed, and reliability with zero friction. It is categorized under developer tools, productivity.

how to install

You can install Beads in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Beads is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

bd - Beads

Distributed, git-backed graph issue tracker for AI agents.

Platforms: macOS, Linux, Windows, FreeBSD

License Go Report Card Release npm version PyPI

Beads provides a persistent, structured memory for coding agents. It replaces messy markdown plans with a dependency-aware graph, allowing agents to handle long-horizon tasks without losing context.

⚡ Quick Start

# Install beads CLI (system-wide - don't clone this repo into your project)
curl -fsSL https://raw.githubusercontent.com/steveyegge/beads/main/scripts/install.sh | bash

# Initialize in YOUR project
cd your-project
bd init

# Tell your agent
echo "Use 'bd' for task tracking" >> AGENTS.md

Note: Beads is a CLI tool you install once and use everywhere. You don't need to clone this repository into your project.

🛠 Features

  • Dolt-Powered: Version-controlled SQL database with cell-level merge, native branching, and built-in sync via Dolt remotes.
  • Agent-Optimized: JSON output, dependency tracking, and auto-ready task detection.
  • Zero Conflict: Hash-based IDs (bd-a1b2) prevent merge collisions in multi-agent/multi-branch workflows.
  • Compaction: Semantic "memory decay" summarizes old closed tasks to save context window.
  • Messaging: Message issue type with threading (--thread), ephemeral lifecycle, and mail delegation.
  • Graph Links: relates_to, duplicates, supersedes, and replies_to for knowledge graphs.

📖 Essential Commands

CommandAction
bd readyList tasks with no open blockers.
bd create "Title" -p 0Create a P0 task.
bd update <id> --claimAtomically claim a task (sets assignee + in_progress).
bd dep add <child> <parent>Link tasks (blocks, related, parent-child).
bd show <id>View task details and audit trail.

🔗 Hierarchy & Workflow

Beads supports hierarchical IDs for epics:

  • bd-a3f8 (Epic)
  • bd-a3f8.1 (Task)
  • bd-a3f8.1.1 (Sub-task)

Stealth Mode: Run bd init --stealth to use Beads locally without committing files to the main repo. Perfect for personal use on shared projects.

Contributor vs Maintainer: When working on open-source projects:

  • Contributors (forked repos): Run bd init --contributor to route planning issues to a separate repo (e.g., ~/.beads-planning). Keeps experimental work out of PRs.
  • Maintainers (write access): Beads auto-detects maintainer role via SSH URLs or HTTPS with credentials. Only need git config beads.role maintainer if using GitHub HTTPS without credentials but you have write access.

📦 Installation

  • npm: npm install -g @beads/bd
  • Homebrew: brew install beads
  • Go: go install github.com/steveyegge/beads/cmd/bd@latest

Requirements: Linux, FreeBSD, macOS, or Windows.

🌐 Community Tools

See docs/COMMUNITY_TOOLS.md for a curated list of community-built UIs, extensions, and integrations—including terminal interfaces, web UIs, editor extensions, and native apps.

📝 Documentation

FAQ

What is the Beads MCP server?
Beads is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Beads?
This profile displays 53 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.453 reviews
  • Hana Patel· Dec 20, 2024

    I recommend Beads for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Kwame Rao· Dec 12, 2024

    According to our notes, Beads benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Shikha Mishra· Dec 4, 2024

    Beads reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ishan Dixit· Nov 27, 2024

    Beads is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Yash Thakker· Nov 23, 2024

    I recommend Beads for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Hana Ndlovu· Nov 11, 2024

    Beads reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Henry Reddy· Nov 3, 2024

    We wired Beads into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Henry Ghosh· Oct 22, 2024

    Beads is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Ama Ghosh· Oct 18, 2024

    We wired Beads into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Dhruvi Jain· Oct 14, 2024

    Strong directory entry: Beads surfaces stars and publisher context so we could sanity-check maintenance before adopting.

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