Knowledge & Memory

Local chronological memory banks you control; Claude recalls them via MCP.

A self-improving, verifiable memory layer for AI coding agents.

Persistent memory + git snapshots for Claude Code. Never lose context or code.

Git-native, review-gated knowledge base for LLM agents. Cited retrieval, audited writes.

On-device, self-organizing memory for AI coding agents — recalls the right facts into each prompt.

Memory for AI agents that tracks beliefs over time and surfaces contradictions

Convert, validate, and inspect AI agent memories across formats

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.