OpenManus

OpenManus is an open-source autonomous general agent. The repository describes it as a "no-invite-code alternative to Manus," meaning it provides similar agentic capabilities without requiring an access request. The GitHub repository, hosted by FoundationAgents, shows 57,740 stars. The project's documentation explains that it is designed to automate complex tasks by reasoning and executing actions across tools like code interpreters, web browsers, and file systems. The agent can break down user requests into steps and operate without constant human supervision. Because it is open source, users can inspect, modify, and self-host the agent.

Who is OpenManus for?

The documentation positions OpenManus for developers, AI researchers, and technical users who want to experiment with or deploy autonomous agents without vendor lock-in. It is suited for individuals or teams who need a customizable agent that can be run on their own infrastructure. The open-source nature means it can be integrated into existing workflows or used as a building block for more specialized automation. The project is not targeted at non-technical end users; setting it up requires familiarity with Python, dependencies, and likely API keys for language models. Users comfortable with command-line interfaces and configuration files will find the setup process straightforward, while those expecting a polished graphical interface may need additional tooling.

How much does OpenManus cost?

OpenManus is free to use. The pricing page lists a starting cost of $0 per month. Since it is open-source software under a permissive license (the repository does not specify a particular license in the data, but open-source implies no licensing fees), users pay only for their own compute resources and any third-party API costs, such as those from an LLM provider. There are no subscription tiers or paid plans offered by the project. The website at openmanus.github.io provides basic documentation and links to the repository.

• Open-source code: no license fees.
• User pays for compute and API usage (e.g., LLM tokens).
• No premium features or enterprise tier.