OpenAgent review
An open-source agent platform combining model choice, browser tools, RAG, and workflows.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
OpenAgent is an open-source AI assistant for developers and teams building agents, with self-hosted and cloud deployment options. It connects to multiple LLM providers and can use uploaded documents as a knowledge base. Agents can browse websites, search the web, run shell commands and scripts, call APIs, and connect to MCP-compatible tools. That breadth makes it a fit for technical users who want to assemble agent capabilities in one platform, rather than buyers seeking only a straightforward chat assistant.
Its integration range is a notable part of the product’s appeal. Providers include OpenAI, Anthropic Claude, Google Gemini, DeepSeek, Qwen, Mistral, Ollama, Amazon Bedrock, and OpenRouter. Telegram, Discord, and WeCom are also listed, alongside MCP-compatible servers. A REST API and Swagger UI offer another route for connecting applications. For teams choosing among hosted and local model options or linking agents to external tools, this flexibility can support varied setups; the choice of provider and deployment still leaves configuration to the team.
OpenAgent is free and open-source, and its software is available as a single binary for Windows, macOS, and Linux, or through Docker. A local web interface is used to configure agents, providers, tools, and knowledge stores. Its visual editor supports multi-step workflows with conditional and parallel execution, while document ingestion and semantic retrieval provide a knowledge-base option. These capabilities favor users comfortable managing an agent platform and its components. Community support and documentation are the listed support channels. Buyers wanting a focused assistant with less configuration, or a support model centered on direct assistance, may prefer a narrower alternative.
OpenAgent pros and cons
- Where it wins
- Connects to multiple LLM providers, including local Ollama models
- Combines browser automation, web search, shell access, and MCP tools
- Visual workflows support conditional and parallel execution
- Where it doesn't
- Self-hosting and agent configuration may suit technical teams better than beginners
- Support channels are community and documentation
- Its feature set may be broader than needed for a focused assistant
OpenAgent fact sheet, pricing and score →
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