OpenAgents

open_source

OpenAgents is an open-source platform for deploying real-world language agents, featuring a Data Agent, Plugins Agent, and Web Agent. Self-host or use the free demo.

Automation & Agents

Data & Analytics

AI Agents

About

OpenAgents is an open-source research platform developed by xlang-ai and presented at COLM 2024, designed to bridge the gap between proof-of-concept language agent frameworks and real-world, application-level deployment. Unlike most agent frameworks that focus solely on developer tooling, OpenAgents prioritizes accessibility for non-expert users while maintaining full extensibility for researchers and engineers. The platform ships with three pre-built agents: the Data Agent, which enables conversational data analysis using Python and SQL; a Plugins Agent, which connects to external web tools and APIs; and a Web Agent, which performs autonomous web browsing tasks. All three are hosted publicly for free demo use. Built with a clean frontend/backend architecture and full Docker support, OpenAgents can be self-hosted with minimal setup. Its modular design allows developers to extend existing agents or add entirely new ones. The codebase is licensed under Apache-2.0, making it suitable for both academic research and commercial applications. OpenAgents is ideal for AI researchers studying agent behavior in realistic settings, developers building production-grade agent applications, and organizations wanting to self-host capable LLM-powered assistants. With over 4,700 GitHub stars and multilingual documentation (English, Chinese, Japanese, Korean), it has strong community traction and ongoing development.

Key Features

Data Agent: Conversational agent that performs data analysis using Python and SQL, allowing users to query and visualize data with natural language.
Plugins Agent: Integrates with external web tools and APIs, enabling agents to call third-party services to complete complex tasks.
Web Agent: Autonomous web browsing agent that navigates websites, gathers information, and executes multi-step web tasks on behalf of users.
Self-Hostable with Docker: Full Docker and docker-compose support makes it straightforward to deploy OpenAgents on your own infrastructure in minutes.
Open-Source & Extensible: Apache-2.0 licensed codebase with a modular architecture, letting developers add custom agents or extend existing ones freely.

Use Cases

Researchers studying language agent behavior in real-world settings using the hosted demo or self-deployed environment.
Data analysts using the Data Agent to query and visualize datasets through natural language without writing code.
Developers building and prototyping custom LLM-powered agent applications on top of OpenAgents' extensible framework.
Organizations self-hosting a multi-agent platform to automate web browsing, data analysis, and API-connected workflows internally.
AI educators and students exploring hands-on language agent concepts using a fully functional, open-source reference implementation.

Pros

Production-ready architecture: Includes a full frontend, backend, and Docker setup — not just a research prototype — making it deployable in real environments.
Accessible to non-experts: Unlike most agent frameworks, OpenAgents is designed so that end-users without coding knowledge can interact with agents through a clean UI.
Strong open-source community: 4,700+ GitHub stars, multilingual documentation, and active maintenance signal a healthy and growing contributor base.
Free hosted demo available: All three agents are hosted publicly for free, letting users try the platform instantly without any local setup.

Cons

Requires LLM API keys: Self-hosting requires access to external LLM APIs (e.g., OpenAI), which may incur costs and add configuration complexity.
Limited out-of-the-box agent variety: Only three agents are provided by default; building additional custom agents requires developer effort and familiarity with the codebase.
Research-oriented origins: As an academic project, enterprise-grade support, SLAs, and long-term maintenance guarantees are not formally provided.

Frequently Asked Questions

Yes. OpenAgents is fully open-source under the Apache-2.0 license and can be self-hosted for free. A publicly hosted demo is also available at no cost.

OpenAgents ships with a Data Agent (conversational data analysis via Python/SQL), a Plugins Agent (integration with external web APIs and tools), and a Web Agent (autonomous web browsing).

The repository includes a Dockerfile and docker-compose.yml. You can clone the repo, configure your environment variables (including LLM API keys), and run `docker-compose up` to get started.

Yes. The modular architecture is designed to be extensible. Developers can implement new agents by following the existing agent structure in the `real_agents` directory.

OpenAgents was built with large language models in mind (initially targeting OpenAI models), but the open-source nature of the platform allows integration with other LLMs as well.