A-Mem provides self-evolving memory capabilities for AI agents through a dynamic knowledge graph. When new knowledge is added, the system identifies semantically similar existing memories and strengthens or updates connections between them. Features dual-mode search combining semantic vector similarity with graph traversal, and token-efficient retrieval using lightweight metadata summaries. Supports multiple LLM backends including OpenAI, Ollama, SGLang, and OpenRouter.
Cognium trust score
76%
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.