MCP servers for llm-memory

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zer

Long-term memory for AI coding agents (Claude Code, Codex, opencode) as a tree of plain files

蒸留蔵 — distilled long-term memory for agents: recall by meaning, writing gated by evidence, one kura per agent mode. Ships as a DeepSeek Harness plugin and an MCP server.

Connect your models and chats together with one central git memory. Plain Markdown facts in a git repo you own — Claude Code, ChatGPT, Cursor, Codex and anything that uses APIs, Integrations or MCPs r

Self-improving context & memory for Claude Code and OpenAI Codex. One canonical knowledge store injected only when relevant — hooks push budgeted context, an MCP server serves depth on demand, and it