AgentX is an intelligent agent construction platform designed for users of all skill levels to create personalized agents via natural language. It leverages LLMs and a Multi-Capability Platform (MCP) with a high-availability gateway, simplifying agent development by eliminating complex interfaces and enabling tool integration.

How It Works

The platform utilizes Large Language Models (LLMs) and its proprietary Multi-Capability Platform (MCP) architecture, featuring a self-developed MCP gateway and high-availability model components. This approach streamlines agent creation through natural language prompts and tool integration, offering a more accessible alternative to traditional visual or code-heavy development workflows.

Quick Start & Requirements

Docker is the recommended installation method for a quick, full-featured experience. Users need Docker installed. Setup involves downloading and configuring the .env file from the provided example. A single docker run command deploys the core services (frontend, backend, database, message queue). The high-availability gateway can be deployed separately. Default credentials are admin@agentx.ai/admin123 for administrators and test@agentx.ai/test123 for test users. Links to Bilibili tutorials, detailed guides, and a demo are available.

Highlighted Details

• Comprehensive Agent Management (creation, publishing).
• Advanced LLM Context Management (sliding window, summarization).
• Integration with MCP strategies and a tool market.
• Support for RAG and a high-availability gateway architecture.

Maintenance & Community

The project fosters an active developer community, with channels including WeChat groups and a public WeChat account for technical discussions and updates. Contact is available via WeChat for support and collaborations.

Licensing & Compatibility

The provided README does not specify a software license. This absence requires clarification for adoption decisions, particularly regarding commercial use or derivative works.

Limitations & Caveats

Several advanced features are marked as under development or not yet implemented, including Multi-Agent coordination, Knowledge Graph integration, and Long-term Memory capabilities.