iPollo is an open-source agentic AI work platform and alternative to tools like Codex and Claude Cowork. It converts user intent into editable code, documents, designs, and video across four surfaces. The system features adaptive perception to gather context, a self-evolving runtime that improves from outcomes, a shared human-AI workspace, and autonomous execution for multi-step tasks. Every result feeds back to strengthen future performance.
In the AI & ML space, iPollo takes a focused approach. It focuses on turning high-level intent into multi-modal work outputs like code, documents, designs, and video with continuous learning from results. It is built as an open-source project for developers and knowledge workers. iPollo is open source under the Open Source license. It runs on the web, and it can be self-hosted.
Behind iPollo is Devin-AXIS, and it first shipped in 2025. Development happens publicly on GitHub with 1.7k stars and 358 commits in the last 90 days. Key capabilities include adaptive perception, self-evolving runtime, and human-AI workspace.
Summary written by a language model from the project’s public pages.
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