OpenManus is an open-source agent framework developed by contributors from the MetaGPT project, designed to enable users to build and deploy AI agents without requiring invite codes or special access. The core team includes Xinbin Liang and Jinyu Xiang as primary authors, alongside Zhaoyang Yu, Jiayi Zhang, and Sirui Hong. The project was prototyped within three hours and continues active development. Written in Python, OpenManus provides a straightforward implementation that welcomes community suggestions, contributions, and feedback.
The repository is classified across a diverse range of academic and technical domains including literary studies, manuscript analysis, digital humanities, text processing, and scholarly collaboration tools. This broad classification reflects the project's potential applications in document parsing, linguistic analysis, and content sharing platforms. The project maintains an active homepage at openmanus.github.io and demonstrates strong community engagement through its development practices.
OpenManus supports multiple installation methods, with the recommended approach using uv, a fast Python package installer and resolver, for improved dependency management. The framework requires configuration of LLM API keys through a config.toml file and offers a simple one-line command to launch the system. Users can input their ideas via terminal to generate agent responses. The project includes optional browser automation tool support and provides specialized agents beyond the general OpenManus Agent, including a DataAnalysis Agent tailored for data analysis and visualization tasks.
The project emphasizes collaborative development through pre-commit tools for code quality checks and maintains community engagement via a Feishu networking group. OpenManus has also launched OpenManus-RL, a complementary open-source project focused on reinforcement learning-based tuning methods for LLM agents, developed collaboratively with researchers from UIUC. The framework acknowledges support from multiple foundational projects including anthropic-computer-use, browser-use, and crawl4ai, as well as recognition from related agent frameworks like MetaGPT, OpenHands, and SWE-agent. The project receives computing infrastructure support from PPIO and hosting support from stepfun for its Hugging Face demonstration space.
