--- title: "open-swe vs OpenAlpha_Evolve" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-open-swe-vs-shyamsaktawat-openalpha-evolve" tools: ["langchain-ai-open-swe", "shyamsaktawat-openalpha-evolve"] --- # open-swe vs OpenAlpha_Evolve *GraphCanon updated Aug 25, 2026* ## Verdict Pick open-swe if open-swe is an open-source asynchronous coding agent that allows customization of components like models, sandboxes, tools, triggers, prompts, and middleware; pick OpenAlpha_Evolve if autonomous coding agents evolve via advanced algorithms. [open-swe](https://www.langchain.com/blog/open-swe-an-open-source-framework-for-internal-coding-agents) reports 11k GitHub stars, 1.2k forks, and 28 open issues, last pushed Aug 19, 2026. [OpenAlpha_Evolve](https://github.com/shyamsaktawat/OpenAlpha_Evolve) has 1.0k stars, 154 forks, and 10 open issues, last pushed May 31, 2025. Figures are from public GitHub metadata via [open-swe's repository](https://github.com/langchain-ai/open-swe) and [OpenAlpha_Evolve's repository](https://github.com/shyamsaktawat/OpenAlpha_Evolve). | | [open-swe](/tools/langchain-ai-open-swe.md) | [OpenAlpha_Evolve](/tools/shyamsaktawat-openalpha-evolve.md) | | --- | --- | --- | | Tagline | An Open-Source Asynchronous Coding Agent | Framework for autonomous coding agents using evolutionary algorithms | | Stars | 10,576 | 1,048 | | Forks | 1,228 | 154 | | Open issues | 28 | 10 | | Language | Python | Python | | Adopt for | open-swe is an open-source asynchronous coding agent that allows customization of components like models, sandboxes, tools, triggers, prompts, and middleware. | Autonomous coding agents evolve via advanced algorithms. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License allows modification and distribution with attribution required | | Categories | AI Agents, Evaluation & Observability | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [open-swe](/tools/langchain-ai-open-swe.md) | [OpenAlpha_Evolve](/tools/shyamsaktawat-openalpha-evolve.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 450d | | Open issues (now) | 28 | 10 | | Stars delta | +221 (30d) | +8 (30d) | | Open issues delta | +4 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/langchain-ai-open-swe/trust.md) | [trust report](/tools/shyamsaktawat-openalpha-evolve/trust.md) | ## Decision facts: open-swe - **Adopt for:** open-swe is an open-source asynchronous coding agent that allows customization of components like models, sandboxes, tools, triggers, prompts, and middleware. ## Decision facts: OpenAlpha_Evolve - **Adopt for:** Autonomous coding agents evolve via advanced algorithms. - **License detail:** MIT License allows modification and distribution with attribution required ## Choose when ### Choose open-swe if… - Tags unique to open-swe: agent, ai, anthropic, claudecode. - Also covers AI Agents, Evaluation & Observability. - open-swe ships Docker support for self-hosted deployment. - If you are integrating with Linear/Slack/GitHub workflows specifically as it seems to support these platforms natively. ### Choose OpenAlpha_Evolve if… - Tags unique to OpenAlpha_Evolve: alphacode, autonomous-coding-agents, distributed-evolutionary-algorithms, evolutionary-algorithm. - Also covers LLM Frameworks, Model Training. - Integration of iterative refinement into code generation processes ## When NOT to use open-swe - Not recommended if you require real-time interaction with coding agents instead of asynchronous communication. - Avoid choosing this tool if your project does not align well with customization options provided or if integration complexity outweighs benefits. ## When NOT to use OpenAlpha_Evolve - When needing immediate, human-tuned feedback for code improvements - For projects preferring deterministic outcomes over evolved solutions ## Common questions ### What is the difference between open-swe and OpenAlpha_Evolve? open-swe: An Open-Source Asynchronous Coding Agent. OpenAlpha_Evolve: Framework for autonomous coding agents using evolutionary algorithms. See the comparison table for live GitHub stats and shared categories. ### When should I choose open-swe over OpenAlpha_Evolve? Choose open-swe over OpenAlpha_Evolve when Tags unique to open-swe: agent, ai, anthropic, claudecode; Also covers AI Agents, Evaluation & Observability; open-swe ships Docker support for self-hosted deployment; If you are integrating with Linear/Slack/GitHub workflows specifically as it seems to support these platforms natively. ### When should I choose OpenAlpha_Evolve over open-swe? Choose OpenAlpha_Evolve over open-swe when Tags unique to OpenAlpha_Evolve: alphacode, autonomous-coding-agents, distributed-evolutionary-algorithms, evolutionary-algorithm; Also covers LLM Frameworks, Model Training; Integration of iterative refinement into code generation processes. ### When should I avoid open-swe? Not recommended if you require real-time interaction with coding agents instead of asynchronous communication. Avoid choosing this tool if your project does not align well with customization options provided or if integration complexity outweighs benefits. ### When should I avoid OpenAlpha_Evolve? When needing immediate, human-tuned feedback for code improvements For projects preferring deterministic outcomes over evolved solutions ### Is open-swe or OpenAlpha_Evolve more popular on GitHub? open-swe has more GitHub stars (10,576 vs 1,048). Stars measure visibility, not whether either tool fits your constraints. ### Are open-swe and OpenAlpha_Evolve open source? Yes - both are open-source projects on GitHub (open-swe: MIT, OpenAlpha_Evolve: MIT). ### Where can I find alternatives to open-swe or OpenAlpha_Evolve? GraphCanon lists graph-backed alternatives at [open-swe alternatives](/tools/langchain-ai-open-swe/alternatives) and [OpenAlpha_Evolve alternatives](/tools/shyamsaktawat-openalpha-evolve/alternatives) ([open-swe markdown twin](/tools/langchain-ai-open-swe/alternatives.md), [OpenAlpha_Evolve markdown twin](/tools/shyamsaktawat-openalpha-evolve/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/langchain-ai-open-swe-vs-shyamsaktawat-openalpha-evolve.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, open-swe or OpenAlpha_Evolve? open-swe: Very active. OpenAlpha_Evolve: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for open-swe and OpenAlpha_Evolve? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [open-swe trust report](/tools/langchain-ai-open-swe/trust); [OpenAlpha_Evolve trust report](/tools/shyamsaktawat-openalpha-evolve/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langchain-ai-open-swe`](/api/graphcanon/graph?tool=langchain-ai-open-swe) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_