OpenAgent is an open-source personal AI assistant, positioned as a next-generation personal AI assistant, powered jointly by LLMs, RAG, and agent loops, and released as a single binary with no installation required.
Purpose OpenAgent integrates large language models, users' own knowledge bases, and autonomous agent loops into a self-hostable platform. Users can connect any model provider, build RAG knowledge bases from their own documents, and let agents browse the web, run code, and call any MCP-compatible tool on their behalf. The agent types it supports include computer-use, browser-use, and coding agent.
Main capabilities According to official information, OpenAgent's main features include:
- Access to more than 30 model providers, switchable in each conversation without modifying code. The listed providers include OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, DeepSeek, Mistral, Grok, Qwen, Doubao, Moonshot, ChatGLM, Baichuan, Ernie, iFlytek, HuggingFace, Cohere, Amazon Bedrock, OpenRouter, Ollama, APIMart, and others.
- Autonomous Agent Loops.
- RAG & Knowledge Base.
- Workflow Automation.
- Platform Features.
- Admin Dashboard.
How to use
- Precompiled binaries: The official project provides precompiled binaries for Linux, macOS, and Windows (x86_64 / arm64). The installer downloads the latest version and starts OpenAgent on port 14000. The information gives two methods: macOS / Linux / WSL and Windows (PowerShell); Windows can run natively without WSL or Docker. After startup, open http://localhost:14000 to enter. Optional environment variables include OPENAGENT_VERSION, INSTALL_DIR, and BIN_DIR.
- Build from source: The backend requires Go 1.25.0+; the frontend requires Node.js 20+ and Yarn 1.x; after the container runs, likewise open http://localhost:14000。
Use cases Suitable for users who want to self-host a personal AI assistant, connect multiple model providers, build knowledge bases from their own documents, and need agents to perform tasks such as browsing the web, running code, and calling MCP tools. The official project provides an online demo (https://demo.openagentai.org）和 Playground for trying it out, with full documentation at https://www.openagentai.org，另有 Discord community (discord.gg/5rPsrAzK7S) for communicating with maintainers and other users, and accepts feedback through Issues and PRs (it is recommended to open an issue first to discuss larger changes).
Limitations The information does not provide pricing, fees, or details beyond specific platform support, nor does it provide specific usage steps, effectiveness data, or performance metrics for each feature; this content is not currently available. The project is hosted on GitHub (https://github.com/the-open-agent/openagent）。
