by OpenAdaptAI · MCP 服务器 · ★ 1.8k
OpenAdapt: AI-First Process Automation with Large Multimodal Models (LMMs) OpenAdapt is the open source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web GUIs. Record GUI demonstrations, train ML models, and evaluate agents - all from a unified CLI. Join us on Discord OpenAdapt.ai Architecture OpenAdapt v1.0+ uses a modular meta-package architecture.
| Stars | 1,782 |
| Forks | 266 |
| Language | Python |
| Category | MCP 服务器 |
| License | MIT |
| Quality Score | 70.6377876399894/100 |
| Open Issues | 34 |
| Last Updated | 2026-10-19 |
| Created | 2023-04-12 |
| Platforms | browser, cli, mcp, python |
| Est. Tokens | ~16k |
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OpenAdapt is For EHRs, payer portals, and any app your team clicks through. A person or an agent shows the task; OpenAdapt turns it into a local program that repeats the steps with no model calls, checks each save. It is categorized as a MCP 服务器 with 1.8k GitHub stars.
OpenAdapt is primarily written in Python. It covers topics such as agent-harness, ai-agents, browser-automation.
You can find installation instructions and usage details in the OpenAdapt GitHub repository at github.com/OpenAdaptAI/OpenAdapt. The project has 1.8k stars and 266 forks, indicating an active community.
OpenAdapt is released under the MIT license, making it free to use and modify according to the license terms.