Memov, developed by Memovai for the mcp platform, functions as a free MCP server designed to enhance AI coding agents. Built with Python, it provides a persistent memory layer and Git-powered version control for AI coding sessions. This program helps developers and teams track, manage, and replay AI interactions, ensuring traceability and context for coding journeys. It operates on a private-first, local model, avoiding external databases or overhead.

What does Memov connect to?

Memov connects directly to AI coding agents, serving as a memory layer. It integrates with various AI clients, including Claude Code, Codex, VS Code, Cursor, and Antigravity, and is designed to work with any AI coding agent. Compatible AI models include ChatGPT, Grok, Gemini, and OpenClaw. Its category is an MCP server, providing persistent memory and version control for these AI agent interactions, primarily using the stdio transport protocol.

Core features and tools

Memov exposes specific callable tools for managing AI coding sessions. The snap(prompt, response, plan, files) tool tracks file changes and stores snapshots of interactions. For searching through past code history, vibe_search(query: str, n_results: int = 5, content_type: str = "") enables semantic search. Additionally, users can launch a web-based interface using the use mem ui command, providing visual access to its functionalities.

Who is it for?

Memov's primary audience consists of developers and teams actively working with AI coding agents. It benefits those who require traceable, version-controlled AI coding sessions and need to manage the history of AI-generated code. Its capabilities support exploring different solutions and reusing past coding successes. Skip this if you do not use AI coding agents or require centralized authentication for your memory layer.

How to get started

No credentials are required for Memov itself, as it operates on a private-first, local model with no centralized authentication system. The setup primarily involves integrating the mem-mcp server into an AI client's MCP configuration. This integration typically specifies a command to launch Memov, and it communicates using the stdio transport protocol.

Use cases

• Version Control and Rollback: Auto-tracks prompts, context, and code diffs, enabling users to branch, rollback, and replay interactions.
• Contextual Memory and Traceability: Captures every prompt, agent plan, and code diff in real-time, providing full context and traceability for AI coding journeys.
• Skill Learning and Reuse: Auto-generates "skills" from past coding history to enhance AI agents, allowing reuse of code edits and learning.

Memov offers a valuable solution for managing AI coding agent interactions by providing Git-powered version control and persistent memory. Its private-first design ensures local operation without database overhead, supporting detailed traceability and skill development.