Show GN: How to Make an AI Agent Your Own

Monet has been released to solve the problem of coding agents forgetting previous decisions or codebase context whenever sessions change. Beyond simply storing conversation history, Monet helps agents manage the state of the project they're working on as Structured State.

Key Features:

• Local-first: All data is stored on the user's device in SQLite format, and the embedding model also runs on-device, working offline without worry about code leaks.
• MCP-native: Supports the Model Context Protocol (MCP), allowing immediate connection to various existing AI agent tools such as Cursor and Claude Code.
• Graph-based Memory: Rather than simple keyword matching, it grasps connected context between work threads to gather and update related information.
• Automatic Synthesis: It automatically summarizes and organizes decisions, conventions, and errors that arise while the agent performs tasks, keeping the memory up to date.

Users can visually check the concepts the agent remembers and the connections between them through monet dashboard.