The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Memmy Agent
A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context — all AI remember the same you. Now supports…
Install
$
git clone https://github.com/MemTensor/memmy-agentInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Continue the same work across DeepSeek Harness, Claude Code, Codex, and etc.
Overview · Quick Start · Technical Overview · Roadmap · Acknowledgements · Contributors
English • 简体中文
What Is Memmy?
Cross-Agent Task Continuity
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Most of the Agents You're Using Can Connect to Memmy
DeepSeek Harness, OpenClaw, Hermes, Claude Code, Codex, Cursor, WorkBuddy, OpenCode, Pi...they all work!
Data Security
How to Use Memmy
For complete installation and configuration instructions, see the Getting Started guide.
1. Desktop App (Recommended)
Download Memmy from the official website or GitHub Releases.
[!TIP] Sign up for Memmy to receive free tokens and try the complete Memory + Agent Runtime. Trial credits: Registration grants Agent task trial tokens; the current balance and usage are shown in the app. When the trial credits run out, switch to BYOK mode and use your own model API.
2. Use the memmy CLI / TUI
On Linux x64 or arm64 with Node.js 22 or newer and an available systemd user session:
curl -fsSL https://raw.githubusercontent.com/MemTensor/memmy-agent/main/scripts/install.sh | bash
memmy
The installer enables the local Memory Service immediately as memmy-memory.service. The first bare memmy invocation opens the model setup wizard when needed, then enables memmy-gateway.service, waits for it to become ready, and enters the TUI. Both are systemd --user services bound to localhost and remain available after the TUI or terminal exits. They start again on later logins; the installer does not enable linger. Only the installer launcher activates this service management, so source-built Linux CLIs keep their existing behavior.
Before starting or reconnecting to the Gateway, memmy refreshes a private ~/.memmy/systemd/gateway.env file (mode 0600) with configuration-referenced environment variables, common Provider credentials, and the terminal PATH. If those values change, the next bare memmy invocation restarts the user service with the new environment.
systemctl --user status memmy-memory.service
systemctl --user status memmy-gateway.service
The installer initializes Memory without changing Codex, Claude Code, Cursor, or other agents. Run memmy-memory init (all detected agents) or memmy-memory init --agent when you explicitly want to install the Memory Skill and the supported Hook/plugin for an agent.
memmy onboard # Configure models, providers, gateway, memory, and tools interactively
memmy onboard --defaults # Initialize ~/.memmy/config.yaml and the workspace with defaults
memmy status # Check the configuration, model, and provider
memmy agent --message "Introduce the current workspace" # Run a single-turn task
memmy # Enter the interactive TUI
memmy serve # Start the OpenAI-compatible API (:18990)
The minimal BYOK configuration is located at ~/.memmy/config.yaml:
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