It distills your knowledge, preferences, and project experience into personal memory, and lets different Agents — Cursor, Claude Code, Codex, OpenClaw, and more — share the same context.

Memmy ships as a desktop app, a CLI, and an API, so you can use the same long-term memory in different ways. Accumulate once, use everywhere.

• Download the Memmy desktop app and finish onboarding in minutes
• BYOK mode — plug in the model quota you already have
• Turn your Cursor, Claude Code, and Codex history into memory

What Is Memmy#

Memmy is not just an app with a chat window — it is a complete local Agent Runtime:

• The Desktop app provides the task workbench, desktop pet, memory panel, tool connections, and settings pages.
• The Agent Runtime handles conversations, tool calls, MCP, scheduled tasks, long-running tasks, sessions, and skills.
• The Memory service handles memory writing, retrieval, archiving, and analytics, using local SQLite by default.
• The Local backend handles accounts, configuration, integrations, Agent source scanning, Skill installation, and the local machine API.
• The CLI and HTTP API let external Agents, scripts, or other products plug into Memmy too.

Who It's For#

• People who use multiple AI coding/chat tools at once (Cursor, Claude Code, Codex, Opencode, OpenClaw, Hermes) and want them to share one set of memory.
• Developers who want local-first data and bring-your-own API Keys.
• Everyday users who want an always-on-desktop, on-call Agent entry point (the desktop pet).

What You Need#

• A macOS or Windows device (desktop app), or a Node.js >=22 environment (CLI / from source).
• Account mode: a Memmy account (includes platform trial tokens).
• Or API Key mode: an API Key from any supported model provider.

How It Works#

Core Capabilities#

• Scan conversation history from Cursor, Claude Code, Codex, and more; dedupe, ingest, and search it in one place.
• Config lives in ~/.memmy/config.yaml, memory in local SQLite, and every endpoint is token-protected.
• Multi-session tasks, streaming output, attachments, voice input, and slash commands.
• A transparent always-on-top mini window that takes text or voice tasks anytime and syncs with the main workbench.
• Channels like Telegram, WeChat, Feishu, and DingTalk, plus managed integrations such as GitHub, Notion, and Slack.
• Many providers including OpenAI-compatible, Anthropic, Gemini, DeepSeek, and Ollama.

Quick Start#

1. Download and launch the Memmy desktop app, or build App/memmy-agent and use the CLI.
2. Choose account mode or API Key mode, configure your primary model, and pass a connection test. CLI users run:

memmy onboard

3. Send your first task from the main workbench, or in the terminal:

memmy agent --message "Hi, introduce the current workspace"

Configuration#

The main config defaults to ~/.memmy/config.yaml and supports ${ENV_NAME} environment variable references:

agents:
  defaults:
    model: openai/gpt-4.1
    provider: openai
    timezone: "+08:00"
 
providers:
  openai:
    apiKey: ${OPENAI_API_KEY}

Next Steps#

Full installation and first-run setup · Overview, entries, policies, world model, and logs · Connect Memmy to your IM · memmy and memmy-memory commands · Processes, ports, and data flow · FAQ and troubleshooting entry points