Al Buddy Memory MCP server

al-buddy-memory

Al Buddy — that's Al, a name, said like "pal". Not A.I.

A memory that's yours.

Portable, governed, model-agnostic memory for AI agents.

A fact is invalidated, never overwritten; on a governed handle, erasure runs through policy and is audited. Raw text is the source of truth and cannot be edited. Embeddings are a disposable, model-tagged cache. Every fact and every link exports to one documented format. The memory outlives whatever model, runtime or company produced it.

Why this exists

Every agent-memory product on the market answers one question well: what does the agent recall? None of them answers the four questions that decide whether you can trust and keep that memory:

Sources for the cells above, each checked against the project's own code or announcement on 2026-09-18: Mem0's per-memory history is a SQLite table with oldmemory, newmemory, event, createdat, updatedat (mem0/memory/storage.py); Mem0 is Apache-2.0 and runs against local vector stores including Qdrant, Chroma, pgvector and FAISS (vector-store docs), with an LLM called to extract facts on the default add() path. Zep stopped maintaining Community Edition on 2025-04-02, in its own words: "we've decided to stop maintaining and releasing Zep Community Edition." Graphiti, the engine under Zep, is Apache-2.0 and self-hosts, and its stated requirements are a graph database (Neo4j, FalkorDB, Amazon Neptune, or the deprecated Kuzu) plus an LLM key — it "defaults to OpenAI for LLM inference and embedding."

The three local, keyless ones people will name, read against their own code on 2026-09-21. They answer the fourth question the way this library does — your machine, your files, no account — and they are the honest comparison, not the cloud products.

Shortened. The full README is on GitHub.