Knowledge & Memory

MCP server for agent task workflows with phases, prompts, gates, and multi-agent coordination

AI that remembers. Local-first cross-session, cross-project long-term memory for coding tools.

AI-powered code indexer with semantic search and knowledge graphs

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 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.

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 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

Caller-side T1/T2 heterogeneous validation MCP server. Stdlib-only Python.

Knowledge graph CLI for managing features, ADRs, and test criteria as MCP-discoverable artifacts.