cognithor: Cognithor · Agent OS: Local-first autonomous agent operating system

by Alex8791-cyber · MCP Server · ★ 153

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install cognithor

git clone https://github.com/Alex8791-cyber/cognithor.git
pip install cognithor               # Core only: PGE, CLI, Ollama

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 61/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-osai-agentanthropicautonomous-agentdiscord-botdocument-analysisgdpr-compliantgeminihierarchical-retrievalknowledge-graph

Quick Facts

Stars153
Forks23
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score61/100
Open Issues4
Last Updated2026-08-24
Created2026-02-25
Platformsgemini, mcp, python
Est. Tokens~25k

About cognithor

Cognithor &middot; Agent OS A local-first, autonomous agent operating system for AI experimentation and personal automation. Cognition + Thor — Intelligence with Power cognithor.ai &middot; Agent Packs &middot; Docs &middot; Blog 19 LLM Providers &middot; 17 Channels &middot; 6-Tier Memory &middot; 4-Channel Search &middot; Knowledge Vault &middot; Security &middot; Apache 2.0 <a...

Compatible Skills

These tools work well together with cognithor for enhanced workflows:

  • agent-second-brain — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
  • openclaw-qa — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)

cognithor alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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