Agent Memory

Persistent memory for AI assistants with semantic search and knowledge graph relationships.

One shared, persistent memory across AI agents and systems, with semantic recall and live updates.

Local-first AI memory layer with hybrid search. Postgres + pgvector. Self-hosted, MIT.

Memori MCP server — persistent AI memory with recall and augmentation tools

Persistent, agent-owned memory with encrypted storage and shared knowledge commons.

Persistent memory for AI agents — local JSON, zero config, no server required.

Local-first personal memory and model server for trusted MCP agents on macOS.

Graph-based memory system for LLMs with knowledge graphs and semantic search.

Universal MCP Server with advanced AI memory capabilities and semantic search.

Shared, cited knowledge-graph memory for agents — ask, search, remember, keep standing instructions

Local-first MCP memory server for persistent LLM knowledge with BM25 retrieval.

Offline persistent memory for AI coding agents — 35 tools, 80% fewer calls, no LLM

Review-gated declarative long-term memory with bounded read-only MCP access.

Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.

Verifiable agent memory with signed ledger receipts — verify every write offline.

Persistent semantic memory for AI agents with knowledge graphs and Intelligence Packs.

Persistent semantic memory for AI agents with knowledge graphs and Intelligence Packs.

Persistent memory for AI agents — 98%+ retrieval recall, 99% token savings, 44 tools

Pre-action gates that block AI agents from repeating known mistakes.

MCP server for persistent, semantic memory across AI sessions