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 →
by lthoangg · Agent Tool · ★ 207
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is OpenAgentd safe to install? View the security audit →
OpenAgentd Your on-machine multi-agent system. A long-running local service with a web cockpit, persistent memory, and a team of agents that coordinate to get real work done. Everything stays on your hardware. Documentation What you get A cockpit, not a chat box. Command palette (Ctrl+P), drag-and-drop files, full-screen image viewer, and an inspector that shows every tool call and what came back. Age
| Stars | 207 |
| Forks | 36 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 70.1996992565005/100 |
| Open Issues | 23 |
| Last Updated | 2026-08-10 |
| Created | 2026-04-30 |
| Platforms | python |
| Est. Tokens | ~17k |
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OpenAgentd is Self-hosted AI agent OS — streaming chat, tool use, persistent memory, and multi-agent teams. Runs entirely on your machine.. It is categorized as a Agent Tool with 207 GitHub stars.
OpenAgentd is primarily written in Python. It covers topics such as agents, ai, llm.
You can find installation instructions and usage details in the OpenAgentd GitHub repository at github.com/lthoangg/OpenAgentd. The project has 207 stars and 36 forks, indicating an active community.
OpenAgentd is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to OpenAgentd on Agent Skills Hub include flow-like, concierge, aser. 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: