Knowledge & Memory

Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation

Cognitive memory for AI agents. Atkinson-Shiffrin, RAG, knowledge graph. 100+ tools.

Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search.

MCP server + Playwright reporter that builds a flakiness knowledge graph from test run history

Persistent memory for AI agents: Markdown entries, hybrid search, typed graph links

Event-sourced, auditable agent memory over MCP: cited checkout, replayable provenance.

Agent-native knowledge OS on Markdown: typed graph, hybrid search, and compiler over MCP.

Event-sourced knowledge graph memory for AI coding agents with semantic search

Tamper-evident audit trails for AI agents — Ed25519-signed, hash-chained, EU AI Act ready.

Local-first memory system for AI agents with hybrid search and graph reasoning

A lightweight, structured, token-efficient local-first MCP memory server

Persistent memory for AI agents. Store context, retrieve it semantically.

Live context MCP server: resolves git, services, and tests into agent context. Local-first, MIT.

Persistent memory for AI agents. 36+ MCP tools: encryption, decay, hybrid search, knowledge graph.

RAG memory for LLM agents over Garnet Vector Sets: store text as embeddings, recall by meaning.

Persistent, read-only codebase memory for Claude Code; ask it instead of re-reading files.

Temporal memory for AI with decay and reinforcement. Two-layer storage (JSONL + Markdown).

Persistent, zero-dependency AI memory using SQLite. Local-first, cross-tool portable.

Git-native project memory for AI assistants with enterprise-grade audit compliance

Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.