Agent Memory

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Agent Memory (Project Cortex) is a lightweight, high-performance knowledge base middleware built entirely in Go. It empowers AI agents with persistent memory and the ability to self-evolve by monitoring local directories for changes, intelligently ingesting semantic data, and automating knowledge version arbitration. Featuring real-time file watching, LLM-powered distillation of chat logs into structured solutions, and native Model Context Protocol (MCP) support, it ensures agents like Claude Desktop and Cursor always access a 'Single Source of Truth' for their knowledge.

Características Principales

• High-performance, pure Go architecture with a single binary for minimal resource consumption.
• Native Model Context Protocol (MCP) support for seamless integration with AI agents like Claude and Cursor.
• Hard deletion mode to physically remove superseded knowledge, preventing data bloat and maintaining a lean knowledge base.
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• Real-time file system monitoring, ensuring millisecond-level indexing of document changes.
• Intelligent knowledge processing, including intent routing, chat log distillation, and smart version arbitration.

Casos de Uso

• Enhancing AI agents (e.g., Claude, Cursor) with a robust, self-evolving long-term memory system.
• Automating the creation and maintenance of an agent's knowledge base from local files and chat logs.
• Ensuring AI agents have access to a 'Single Source of Truth' by intelligently managing and updating knowledge versions.