Local AI agent engine with 22 chat channels and 65 tools

A self-hosted, local-first AI agent engine, compatible with any LLM provider, featuring 22 chat channels, 65 tools, and 15 skills.

View on GitHub→

Local AI Agent Engine: Self-Hosted Power for Developers

This local AI agent engine provides a robust, self-hosted environment for developers to build and deploy AI-powered applications. Designed for flexibility and control, it integrates seamlessly with any LLM provider, allowing you to leverage your preferred models without vendor lock-in. With a comprehensive suite of 22 chat channels and 65 integrated tools, this engine empowers you to create sophisticated agents capable of complex tasks and interactions.

What it Does

The core function of this engine is to provide a local, self-hosted framework for running AI agents. It abstracts away the complexities of LLM integration, allowing developers to focus on agent logic and functionality. The engine manages communication across multiple chat channels, facilitating parallel processing and diverse agent interactions. Its extensive library of tools and skills enables agents to perform a wide range of operations, from data analysis and code generation to information retrieval and task automation.

Key Features

Self-Hosted & Local-First: Full control over your AI infrastructure and data.
LLM Provider Agnostic: Compatible with any LLM, including local models and cloud APIs.
22 Chat Channels: Enables multi-threaded and concurrent agent operations.
65 Integrated Tools: A vast collection of pre-built functionalities for diverse tasks.
15 Skills: Pre-defined agent capabilities for rapid development.
Open Source: Hosted on GitHub for transparency and community contribution.

Who it's For

This tool is ideal for AI developers, researchers, and engineers who require a flexible, customizable, and self-hosted solution for building AI agents. It's particularly suited for projects where data privacy, cost control, or the use of specific LLMs are critical. Developers looking to experiment with advanced agent architectures, integrate AI into existing local systems, or build custom AI workflows will find this engine to be an invaluable asset.