by LightHaru · Codex Skill · ★ 90
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentbrain safe to install? View the security audit →
🧠 AgentBrain Give your AI agent a brain. Memory that persists. Personality that evolves. Emotions that feel real. All running locally, with zero extra token cost. Why? • Quick Start • Features • Architecture • Docs • 🇻🇳 Tiếng Việt --
npm install @lightharu/agentbrain
Taken from the project's README on GitHub. Check the security audit before running it.
No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
| Stars | 90 |
| Forks | 85 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 51/100 |
| Last Updated | 2026-08-13 |
| Created | 2026-05-26 |
| Platforms | node |
| Est. Tokens | ~13k |
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agentbrain is 🧠 Brain-inspired cognitive architecture plugin for AI agents — persistent memory, evolving personality, neurochemistry-driven mood, learning from mistakes. Fully local on OpenClaw.. It is categorized as a Codex Skill with 90 GitHub stars.
agentbrain is primarily written in TypeScript. It covers topics such as ai-agent, cognitive-architecture, llm.
The README on GitHub (github.com/LightHaru/agentbrain) gives: npm install @lightharu/agentbrain. Usage details are in the same README.
The top alternatives to agentbrain on Agent Skills Hub include lucid-memory, ClawCode, MoltBrain. 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: