Back to directory

Memmy

A local memory service that gives AI coding agents such as Claude Code, Codex and OpenClaw a shared, persistent memory so they keep context across sessions instead of starting over.

Memmy

Memmy is a personal AI agent and memory hub that gives multiple AI coding agents a single, shared long-term memory. It is meant to let Claude Code, Codex, OpenClaw, Cursor and other supported agents continue a task with the same remembered context instead of starting from zero in every new session.

It can run as a downloadable desktop app or as a command-line and terminal-UI client. The CLI installs a local Memory Service and a Gateway, both run as systemd user services on Linux, and opens a model setup wizard on first use. New users get free trial credits for the built-in Agent Runtime; once those run out, the app switches to a bring-your-own-key mode using the user's own model API.

The installer sets up memory support without changing the existing configuration of Codex, Claude Code, Cursor or other agents.

More in Agent memory

See all 450
  • A long technical guide to AI agent memory: why stateless LLMs need it, the different memory architectures from vector stores to knowledge graphs, and how Cognee implements one as an open-source memory layer.

  • A local, file-based long-term memory layer for a personal AI that never summarizes conversations, keeping every line with a timestamp and searching by time first and words second, rather than retrieving only similar-seeming chunks.

  • NEOTH

    deepwiki.com

    A local-first personal AI daemon in Rust with five memory tiers, consent-gated tools, a WASM plugin sandbox, multi-provider model routing and signed audit logs, aimed at people who want both a daily assistant and a serious coding helper.