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
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What is Openagent?
OpenAgent is an open-source personal AI assistant platform that combines powerful LLMs, a RAG knowledge base, and autonomous agent loops into a single self-hostable solution. It ships as a single binary with no installer, Docker, or WSL required — just download and run natively on Windows, macOS, or Linux. The platform features full MCP (Model Context Protocol) support, enabling agents to use tools, call APIs, and reason across multi-step workflows with persistent memory.
Key features include support for 30+ model providers (OpenAI, Claude, Gemini, DeepSeek, Qwen, Mistral, Llama, Ollama, Azure OpenAI, AWS Bedrock, Grok, and more) with a unified interface that allows switching providers with one config line. The RAG-ready semantic knowledge base lets users upload PDFs, Word docs, and spreadsheets, with vector search supporting Qdrant, Pinecone, Milvus, and PgVector at 94%+ accuracy. Multi-platform deployment allows one agent to run simultaneously across Telegram, Discord, and WeCom. The extensible plugin architecture enables custom tools, model providers, channels, and workflows.
OpenAgent is designed for developers, builders, and teams who want a privacy-first, self-hosted AI assistant without vendor lock-in. It includes Single Sign-On via Casdoor, role-based access control, complete audit logs, and is fully air-gap deployable for regulated environments. The admin dashboard provides usage statistics, activity monitoring, tool management, and detailed request logs.
Openagent pricing
Pricing model: Freemium
OpenAgent is completely free and open-source under the Apache 2.0 license. There is no paid tier or subscription — the entire platform is available at no cost for both personal and commercial use. You self-host the software on your own infrastructure with no usage limits or rate throttling. You only pay for the model API costs from your chosen provider (OpenAI, Claude, Gemini, etc.) when the agent makes API calls. Pre-built binaries are available for free download for Linux, macOS, and Windows.
Openagent pros
- Single binary — no installer, Docker, or WSL required
- Full MCP (Model Context Protocol) support native
- 30+ model providers with unified interface
- Switch providers with one config line, zero code changes
- RAG-ready semantic knowledge base with 94%+ accuracy
- Supports Qdrant, Pinecone, Milvus, PgVector vector databases
- Deploy across Telegram, Discord, and WeCom simultaneously
- Browser-use capability for navigation, clicks, forms, scraping
- Shell execution for running commands and scripts directly
- Office automation for Word, Excel, PowerPoint files
- Visual workflow builder with BPMN-style drag-and-drop editor
- Single Sign-On via OIDC/OAuth2/LDAP/SAML through Casdoor
- Multi-tenancy with isolated workspaces per user or organization
- REST API with Swagger UI for programmatic access
- Complete audit logs and full activity history
- Air-gap deployable for regulated environments
- Usage analytics tracking token consumption and cost per provider
- 4.5k+ GitHub stars with active community
- 50,000+ self-hosted installations worldwide
- Apache 2.0 open-source license
Openagent cons
- Self-hosting requires technical setup knowledge
- Only 3 messaging channels currently (Telegram, Discord, WeCom)
- No cloud hosting option — must self-host
- Web frontend requires building from source for custom changes
- Go backend requires Go installation for building from source
- Yarn required for frontend development
- Limited to amd64 and arm64 architectures
- No mobile app mentioned
- Documentation may be incomplete for advanced use cases
- Newer project with potentially fewer pre-built integrations
Frequently asked questions about Openagent
What is OpenAgent?
OpenAgent is an open-source personal AI assistant that brings together powerful LLMs, your own knowledge base via RAG, and autonomous agent loops — all in one self-hostable platform. It connects 30+ model providers, lets you build a RAG knowledge base from your documents, and enables agents to browse the web, run code, and call any MCP-compatible tool on your behalf.
Is OpenAgent free to use?
Yes, OpenAgent is completely free and open-source under the Apache 2.0 license. You can use it for both personal and commercial projects. The software itself has no cost, no usage limits, and no rate throttling. You only pay for the model API costs from your chosen provider when the agent makes API calls.
How do I install OpenAgent?
OpenAgent ships as a single binary — just download and run. For macOS/Linux/WSL: run 'curl -fsSL https://raw.githubusercontent.com/the-open-agent/openagent/master/scripts/install.sh | bash'. For Windows (PowerShell): run 'irm https://raw.githubusercontent.com/the-open-agent/openagent/master/scripts/install.ps1 | iex'. The installer downloads the latest release and starts OpenAgent on port 14000. Then open http://localhost:14000 in your browser.
What model providers does OpenAgent support?
OpenAgent supports 30+ model providers including OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, DeepSeek, Mistral, Grok, Qwen, Doubao, Moonshot, ChatGLM, Baichuan, Ernie, iFlytek, HuggingFace, Cohere, Amazon Bedrock, OpenRouter, Ollama, and more. You can switch between providers per conversation with one config line and zero code changes.
What is MCP support in OpenAgent?
MCP (Model Context Protocol) is fully supported natively in OpenAgent. It allows agents to use tools, call APIs, and reason across multi-step workflows with persistent memory. You can plug in any MCP-compatible server over SSE, Stdio, or StreamableHTTP and expose its tools to the agent. This enables transparent tool calls where you see exactly which tool was invoked, with what arguments, and what it returned.
How does the RAG knowledge base work?
Upload PDFs, Word docs, Excel sheets, and more — they are automatically chunked, embedded, and indexed. Every chat retrieves the most relevant passages from your knowledge base via semantic search before the LLM responds. You can use pluggable embedding providers including OpenAI, Azure, Gemini, Qwen, Cohere, Jina, HuggingFace, and local models. Knowledge can be organized into isolated stores assigned per chat or application, with 94%+ retrieval accuracy.
What messaging channels can I deploy to?
OpenAgent currently supports 3 messaging channels: Telegram, Discord, and WeCom. You can deploy one agent across all three platforms simultaneously from a single deployment. More channels are on the roadmap. Each channel maintains the same agent context and capabilities.
Can I build OpenAgent from source?
Yes. For the backend: run 'go build'. For the frontend: 'cd web && yarn install && yarn start'. You need Go installed for the backend and Node.js/Yarn for the frontend. Pre-built binaries are also available for Linux, macOS, and Windows (amd64/arm64) if you prefer not to build.
What privacy and security features does OpenAgent have?
Your data never leaves your machine — it's fully self-hosted with no vendor lock-in. Features include Single Sign-On via Casdoor (OIDC/OAuth2/LDAP/SAML), role-based access control, complete audit logs, and full activity history. It's fully air-gap deployable for regulated environments. Multi-tenancy provides isolated workspaces per user or organization.
How can I get help or contribute to OpenAgent?
Join the Discord community at discord.gg/5rPSRazK7S to chat with maintainers and other users. Issues and pull requests are welcome — please open an issue first to discuss larger changes. Full documentation is available at https://www.openagentai.org. The project has 4.5k+ GitHub stars and 2.8k+ Discord members with active daily participation.