Memmy

Memmy is a personal AI agent and local memory hub that shares long-term context across multiple AI tools.

Memmy is a local-first AI agent and memory hub designed to give your AI tools a shared, persistent long-term context. It reads supported AI conversation histories on your device with your permission, organizing your preferences, decisions, and project context into searchable memory. You can switch between tools like Cursor, Claude Code, and Codex without rebuilding context or repeating yourself. Memmy stores your personal memory locally by default, allowing you to manage sources and control data access. It also lets you assign tasks directly to use relevant memory for organizing material or turning past decisions into documents.

Memmy at a glance

Best for: Software engineer, Founder
Runs on: macOS, Windows, Desktop app, CLI
Pricing: Free & open source
Released: July 2026
Category: AI agent tool
Website: memmy.bot

Key features

Scans local conversation history from supported AI tools
Organizes preferences and project context into searchable memory
Injects relevant memory into connected AI tools
Stores personal memory locally by default
Manages data access and connected sources
Assigns tasks directly to organize material or documents

Use it for

Switching between AI tools without losing project context
Storing user preferences and past decisions
Organizing material and turning past decisions into documents

Alternatives to Memmy

memU — It gives every connected agent a shared and inspectable memory layer.
Supermemory — Integrates long-term memory into AI coding agents with a single prompt.
Mem0 — It provides drop-in persistent memory for AI agents without changing pipelines.
MemMachine — Provides long-term persistent memory for LLM-based agents.
ReMe — It enables local-first, file-native long-term memory sharing across multiple AI agents.
MemPalace — Achieves high recall with local-first storage and zero API calls.
claude-mem — It shares persistent, searchable agent memory across sessions and devices.
SimpleMem — Provides semantic lossless compression to reduce token consumption and maintain long-term context.
Agentmemoryrepo — Enables agents to navigate memories like a wiki and share knowledge across sessions.
MemOS — It delivers ultra-persistent memory, hybrid-retrieval, and token savings.
Maximem — It delivers fast retrieval and structured memory across frameworks.
memsearch — It shares continuous context across Claude Code, Codex, and other AI coding agents.

All Memmy alternatives