Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by gastownhall · Agent Tool · ★ 27.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is beads safe to install? View the security audit →
bd - Beads Distributed graph issue tracker for AI agents, powered by Dolt. Platforms: macOS, Linux, Windows, FreeBSD 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 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
| Stars | 27,604 |
| Forks | 1,877 |
| Language | Go |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.7779347667081/100 |
| Open Issues | 1301 |
| Last Updated | 2026-10-03 |
| Created | 2025-10-12 |
| Platforms | claude-code, go |
| Est. Tokens | ~17k |
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beads is Beads - A memory upgrade for your coding agent. It is categorized as a Agent Tool with 27.6k GitHub stars.
beads is primarily written in Go. It covers topics such as agents, claude-code, coding.
You can find installation instructions and usage details in the beads GitHub repository at github.com/gastownhall/beads. The project has 27.6k stars and 1877 forks, indicating an active community.
beads is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to beads on Agent Skills Hub include beads, ruflo, LocalAI. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: