Persistent memory and state management system for autonomous AI loops. Provides active state monitoring that triggers compaction cycles based on word counts and enforces self-healing strategies on failures, preventing agents from getting stuck in repetitive loops. Works as a two-part ecosystem combining an MCP server for state management with an agent skill for orchestration, enabling smaller models with limited context windows to maintain persistence across long-running workflows.
Cognium trust score
95%
Tier
Verified
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 2026-09-19.
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.