Agentic AI System

About

This tool offers a robust, self-hosted AI infrastructure designed for deploying autonomous AI agents in production environments. It leverages a Model Context Protocol (MCP) to facilitate communication and operation, built upon a WebSocket-based MCP server and a FastAPI-driven REST API. The system incorporates an agent system with memory, an extensible tool registry for function execution, and persistent state management using Redis and PostgreSQL, allowing developers to build and manage sophisticated AI applications with ease.

Key Features

• FastAPI-driven REST API for HTTP Access
• Autonomous AI Agent System with Memory
• 0 GitHub stars
• Integrated State Management (Redis + PostgreSQL)
• Extensible Tool Registry for Function Execution
• WebSocket-based Model Context Protocol Server

Use Cases

• Developing AI applications that require persistent memory and tool-use capabilities
• Building and deploying autonomous AI agents in a self-hosted environment
• Establishing a scalable and monitored AI infrastructure for production use