Not “memory storage for an agent.” AgenticMind is the substrate an agent points at when it needs answers it can trust, a trail it can audit, and a knowledge base that compounds. Most agent memory is a vector store with save() and search() — that buys fuzzy recall and zero accountability: you can’t tell why an answer came back, whether it’s current, or whether a source even supports it. AgenticMind treats knowledge as a first-class, auditable, self-improving substrate, and exposes it to any agent over the Model Context Protocol.
Everything plain RAG and memory SDKs leave out — accountability, provenance and a corpus that gets better with use.
Every claim in an answer is keyed to a numbered source. No source, no claim — and the unsupported half of a question is refused, not fabricated.
A replayable trace for every answer: what was retrieved, ranked and used, with phases, model and a telemetry id you can open later.
Validated answers are promoted back into the corpus by a judge-gated compounding loop driven by programmatic signals — not human thumbs.
Chunks → typed fact cards → knowledge graph; hybrid vector + full-text, recency-aware ranking for answers that stay current.
Scoped, least-privilege MCP tokens, fail-closed auth, and guardrails on both input and output.
Postgres + pgvector carries vectors, full-text, the graph and the durable queue. No Redis, no Neo4j, no vector-DB sprawl.
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A vector store gives fuzzy recall and no accountability. AgenticMind enforces citations, ships a replayable why-trace, verifies relations through a graph module, and compounds validated knowledge back into the corpus.
Apache 2.0, on GitHub (Moai Team-Team-LLC/AgenticMind). Free to use, self-host and build on, including commercially.
Postgres with pgvector, and Node or Bun. One datastore, no Redis or Neo4j. It’s zero-key and multilingual by default, and self-hostable end to end.
AgenticMind is headless and exposes its engine as MCP tools (search, ask, ingest, recall, write, signal). Any MCP-capable agent points at it over streamable HTTP with scoped bearer auth.
AgenticMind is the flagship reference implementation of the standard — the open-source pick for the memory/knowledge slot, implementing the canon layer by layer.
Yes. We self-host, tune and wire AgenticMind into your agents as part of our agentic software development work. Reach out below.
More from our agentic practice — the standard we build to, the open-source layer that implements it, and the team that ships it.
Want a knowledge & memory layer your agents can actually trust? Let’s talk.