A lightweight, Git-backed permanent memory for AI agents.

Persistent memory for Claude Code — identity, context, and continuity across sessions

Persistent, provider-neutral memory for Codex, Claude Code, OpenCode, Pi, and MCP coding agents.

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

MCP server for external memory layer for AI agents + more . Download from pypi , and get started

A self-organizing Obsidian vault that gives AI coding agents persistent memory. Claude Code, Codex CLI, Gemini CLI.

LeanKG: Stop Burning Tokens. Start Coding Lean.

Zettelkasten-based persistent memory for AI coding agents. Works with Claude Code, Cursor, VS Code Copilot, Codex, Windsurf & any MCP client. No vector DB — just markdown + git sync.

A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.

An agentic memory database that cuts session tokens by 82–99%. One portable SQLite file — your agent's memory, anywhere.

Persistent memory for AI coding agents: automatic capture, explainable recall, knowledge consolidation, privacy controls, and portable offline storage. One Python file, zero dependencies.

Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.

The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.

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 zero external databases or dependencies. Built in pure Go.