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 Alex8791-cyber · MCP Server · ★ 153
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cognithor safe to install? View the security audit →
Cognithor · Agent OS A local-first, autonomous agent operating system for AI experimentation and personal automation. Cognition + Thor — Intelligence with Power cognithor.ai · Agent Packs · Docs · Blog 19 LLM Providers · 17 Channels · 6-Tier Memory · 4-Channel Search · Knowledge Vault · Security · Apache 2.0 <a href="https://github.com/Alex8791-cyber/cognithor/a
| Stars | 153 |
| Forks | 23 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 60.7662221657346/100 |
| Open Issues | 4 |
| Last Updated | 2026-08-24 |
| Created | 2026-02-25 |
| Platforms | gemini, mcp, python |
| Est. Tokens | ~25k |
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cognithor is Cognithor · Agent OS: Local-first autonomous agent operating system. 19 LLM providers, 18 channels, 145 MCP tools, 6-tier memory, Agent Packs marketplace, zero telemetry. Python 3.12+, Apache 2.0.. It is categorized as a MCP Server with 153 GitHub stars.
cognithor is primarily written in Python. It covers topics such as agent-os, ai-agent, anthropic.
You can find installation instructions and usage details in the cognithor GitHub repository at github.com/Alex8791-cyber/cognithor. The project has 153 stars and 23 forks, indicating an active community.
cognithor is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to cognithor on Agent Skills Hub include zeph, CoWork-OS, Council. 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: