← Index

io.github.DiaaAj/a-mem-mcp

io.github.DiaaAj/a-mem-mcp·v0.2.1·Memory & RAG

Self-evolving memory system for AI agents

Trust verdict · v1 advisory · method
NOT YET SCREENEDno verdict on file

Verdict not yet evaluated for this tool. The semantic screen takes adversarial cases first; coverage rolls out as the corpus expands (15/150 labels to graduation). The deterministic conformance probe is built but has not yet run on the public corpus, so a recorded verdict here is REVIEW or UNVERIFIED, never a clearing ALLOW. Until a verdict is recorded, an agent should treat this tool as not-yet-cleared and fall back to its own checks. Method: the eval, four-state verdict, honest limits.

Own this server? Screen its description →

Environment variables
LLM_BACKEND

LLM backend to use (openai, ollama, sglang, or openrouter)

LLM_MODEL

LLM model name (e.g., gpt-4o-mini, llama2, etc.)

OPENAI_API_KEY
requiredsecret

OpenAI API key (required if LLM_BACKEND=openai)

EMBEDDING_MODEL

Sentence transformer model for embeddings

CHROMA_DB_PATH

ChromaDB storage directory path

MCP quality score · maturity, not trust · methodology
freshness
15
completeness
5
installability
25
documentation
15
stability
5
Alternatives in Memory & RAG