Otonom Aglar is a Python-based autonomous agent framework built on MCP, implementing a ReAct loop (Thought-Action-Observation) with semantic memory via vector embeddings. It provides tools for file operations, SQLite queries, GitHub issue management, Playwright web scraping, RAG-based retrieval, sandboxed code execution, and recursive sub-agent delegation.
Cognium trust score
62%
Tier
Scanned
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Last scanned 2026-09-02.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.