awesome-devins

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Basic Information

This repository is a curated, community maintained list of AI agents and projects inspired by Devin. It collects short descriptions, categories, images and links for both open-source and closed-source agent projects so readers can discover alternatives, demos and implementations. The list is organized with sections for open-source and closed-source projects and guidance to keep entries alphabetical and in the correct category. It highlights ways to try related infrastructure, for example inviting users to try E2B’s cloud runtime for AI agents, and provides contribution instructions via pull requests or a submission form. The maintainers welcome discussion and feedback and surface additional resources such as a landscape image, commit history and contact channels.

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Categorization

App Details

Features
Curated catalog entries that include project name, short description, category label and links to GitHub, demos, papers or docs. Separate sections for open-source and closed-source Devin alternatives. Visual assets and an AI agents landscape image to aid discovery. Contribution workflow with a submission form and pull request guidance. Community and support pointers including Discord, Twitter and an email contact for E2B. Example entries reference project capabilities and, in some cases, technology stacks or papers to help evaluation. The README records recent commits and updates so readers can see activity and maintainers encourage community feedback.
Use Cases
The list helps developers, researchers and product teams quickly find and compare AI agent projects and Devin-inspired alternatives. It aggregates links to source code, demos, documentation and academic papers so users can evaluate functionality, benchmarks and design choices without searching many sites. The repo also points to practical resources like E2B’s cloud runtime to try agents, explains how to contribute new entries, and provides community channels for discussion. By grouping projects and summarizing key capabilities, the repository reduces discovery time and supports informed decisions about which agent projects to explore or adopt.

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