the-open-agent/openagent

⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org

What it solves

OpenAgent is a self-hostable personal AI assistant platform that integrates Large Language Models (LLMs), a personal knowledge base (RAG), and autonomous agent loops into a single, easy-to-deploy system. It removes the friction of installation by shipping as a single binary for multiple operating systems.

How it works

The platform connects to over 30 LLM providers and allows users to build RAG-based knowledge bases by uploading documents (PDFs, Word, Excel) which are automatically chunked and indexed. It employs autonomous agent loops that can interact with the real world via browser-use, shell execution, web search, and office automation. It also supports the Model Context Protocol (MCP) for extending tool capabilities.

Who it’s for

It is designed for individuals and organizations who want a private, self-hosted AI assistant capable of performing complex tasks, managing their own data, and automating workflows without needing complex infrastructure setup.

Highlights

  • Single Binary Deployment: Ships as a single executable for Linux, macOS, and Windows (native), requiring no runtime dependencies.
  • Autonomous Capabilities: Agents can drive browsers, run shell commands, and automate Office documents.
  • Visual Workflow Builder: A BPMN-style drag-and-drop editor for creating multi-step, conditional, and parallel pipelines.
  • Extensive Model Support: Compatible with 30+ providers including OpenAI, Claude, Gemini, and local models via Ollama.
  • Enterprise-Ready: Includes multi-tenancy, SSO (OIDC/OAuth2/LDAP/SAML), and detailed usage analytics for token and cost tracking.

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