Memmy

Memmy

Local-first AI agent by Memmy with a self-evolving memory foundation, enabling desktop app, CLI, and external agents to share persistent long-term context.

What is Memmy?

Memmy is a local-first AI agent that builds a self-evolving memory foundation from your AI tool interactions. It automatically scans conversation histories from tools like Cursor, Claude, and Codex, then organizes them into structured, searchable memory. Users rely on it to maintain persistent long-term context across different AI agents, so they never have to repeat preferences, decisions, or project details. It runs as a desktop app (macOS ARM64, Windows x64) and is free and open source.

Application scenarios

  • Multi-tool AI workflow

    Seamlessly switch between Cursor and Claude without losing project context, preferences, or technical decisions.

  • Task relay

    Hand off tasks like merging plans or documenting weekly technical decisions from one agent to another.

  • Personal preference management

    Keep your stylistic or coding preferences (e.g., "clean and restrained" design) remembered across all AI tools.

  • Project continuity

    Continue unfinished work or discussions across different AI sessions without re-explaining context.

  • Collaborative memory sharing

    Let external agents (beyond the desktop app and CLI) access the same persistent memory foundation.

Core Features

  • Automatic memory scanning

    Memmy reads your local AI collaboration history (Cursor, Claude, Codex) and turns scattered conversations into structured memory.

  • Preference and decision tracking

    It remembers what you said, what you decided, and what you care about—no need to repeat yourself next time.

  • Task relay across tools

    When you switch from Cursor to Claude, Memmy carries your project context, preferences, and progress over automatically.

  • Agent capabilities

    It's not just a memory manager—you can hand it tasks directly, like organizing material, merging plans, or continuing unfinished work.

  • On-demand memory injection

    When you switch to any AI tool, Memmy delivers only the most relevant memory, not a full data dump.

  • Full local data storage

    All memory data stays on your own device—never uploaded to any remote server.

  • Explicit authorization required

    Memmy never reads or processes AI conversation history without your knowledge; every scan requires your explicit consent.

  • Granular access control

    You decide which agent can use each memory and how much context is passed; you can view, delete, or turn off any source anytime.

Target users

  • Developers and technical professionals who work with multiple AI coding tools (Cursor, Claude, Codex) daily and need persistent project context.
  • Power users of AI assistants who want to maintain consistent preferences, decisions, and style across different agents.
  • Open source enthusiasts who value local-first, privacy-respecting tools that evolve with community feedback.

How to use Memmy?

  1. Download the desktop app for macOS ARM64 or Windows x64 from the official website.
  2. Authorize Memmy to scan your AI tool conversation history (Cursor, Claude, Codex) on your device.
  3. Let it organize scattered conversations into structured memory—deduplicated, categorized, and searchable.
  4. Start using any AI tool—Memmy automatically injects the most relevant memory when you switch tools.
  5. Hand tasks directly to Memmy as an agent, or manage memory access and permissions in the app.

Pricing and free trial

Memmy is free and open source. The website mentions "MemmyGPT-5.6 Luna 2M tokens free trial" but does not provide clear pricing details for paid tiers beyond this trial.

Effect review

Memmy addresses a genuine pain point for anyone juggling multiple AI tools: the constant need to re-explain context. Its local-first architecture ensures privacy while still enabling seamless context sharing across agents. The automatic scanning and structured memory organization are practical, though the actual accuracy of memory injection depends on how well it deduplicates and matches context. For developers and power users, this could significantly reduce friction in multi-tool workflows. The open-source nature and community involvement (GitHub, Discord, X) suggest active development and responsiveness to user feedback.

Frequently Asked Questions

What is Memmy?
Memmy is a local-first AI agent with a self-evolving memory foundation, enabling desktop apps, CLI, and external agents to share persistent long-term context.
How does Memmy's memory work?
Memmy's memory is self-evolving, meaning it continuously learns and updates its context from interactions, allowing persistent long-term memory across sessions.
What platforms does Memmy support?
Memmy supports desktop applications, command-line interface (CLI), and can integrate with external agents for shared context.
Is Memmy local-first?
Yes, Memmy is local-first, meaning data is stored and processed on your device for privacy and offline capability.
Can Memmy integrate with other tools?
Yes, Memmy allows external agents to share persistent long-term context, enabling integration with other AI tools and workflows.
Is Memmy free to use?
Pricing details are not specified; please check Memmy's official site for the latest information on free and paid plans.

Memmy - AI Tool Detail

Local-first AI agent by Memmy with a self-evolving memory foundation, enabling desktop app, CLI, and external agents to share persistent long-term context.

Category:Agents

Visit Link:https://memmy.bot/

Tags:AI agent、local-first、memory foundation、desktop app、context sharing