--- title: "openevolve vs agent-framework" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/algorithmicsuperintelligence-openevolve-vs-microsoft-agent-framework" tools: ["algorithmicsuperintelligence-openevolve", "microsoft-agent-framework"] --- # openevolve vs agent-framework *GraphCanon updated Aug 24, 2026* ## Verdict Pick openevolve if openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution; pick agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. [openevolve](https://github.com/algorithmicsuperintelligence/openevolve) reports 7.3k GitHub stars, 1.1k forks, and 116 open issues, last pushed Jul 18, 2026. [agent-framework](https://aka.ms/agent-framework) has 13k stars, 2.1k forks, and 685 open issues, last pushed Aug 10, 2026. Figures are from public GitHub metadata via [openevolve's repository](https://github.com/algorithmicsuperintelligence/openevolve) and [agent-framework's repository](https://github.com/microsoft/agent-framework). | | [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) | [agent-framework](/tools/microsoft-agent-framework.md) | | --- | --- | --- | | Tagline | Open-source implementation of AlphaEvolve evolutionary computation framework | Framework for building and deploying AI agents and multi-agent workflows | | Stars | 7,262 | 12,718 | | Forks | 1,139 | 2,143 | | Open issues | 116 | 685 | | Language | Python | Python | | Adopt for | openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution. | The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Model Training | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) | [agent-framework](/tools/microsoft-agent-framework.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 37d | 0d | | Open issues (now) | 116 | 685 | | Stars delta | +469 (30d) | Unknown | | Open issues delta | +7 (30d) | Unknown | | Full report | [trust report](/tools/algorithmicsuperintelligence-openevolve/trust.md) | [trust report](/tools/microsoft-agent-framework/trust.md) | ## Shared compatibility - **Python**: [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) - Python runtime; [agent-framework](/tools/microsoft-agent-framework.md) - Python runtime ## Decision facts: openevolve - **Adopt for:** openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution. ## Decision facts: agent-framework - **Requirements:** Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages. - **Adopt for:** The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. ## Choose when ### Choose openevolve if… - License: openevolve is Apache-2.0, agent-framework is MIT. - Tags unique to openevolve: alpha-evolve, alphacode, coding-agent, deepmind. - Also covers Model Training. - openevolve ships Docker support for self-hosted deployment. - When focusing on replicating or enhancing features of DeepMind's AlphaEvolve in a Python environment ### Choose agent-framework if… - License: agent-framework is MIT, openevolve is Apache-2.0. - Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.. - Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent. - Also covers Developer Tools. - Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ## When NOT to use openevolve - If project requires more specialized AI agents not covered by AlphaEvolve techniques - For tasks that do not benefit from the specific type of iterative refinement and model training offered by this framework ## When NOT to use agent-framework - Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. - Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework. ## Common questions ### What is the difference between openevolve and agent-framework? openevolve: Open-source implementation of AlphaEvolve evolutionary computation framework. agent-framework: Framework for building and deploying AI agents and multi-agent workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose openevolve over agent-framework? Choose openevolve over agent-framework when License: openevolve is Apache-2.0, agent-framework is MIT; Tags unique to openevolve: alpha-evolve, alphacode, coding-agent, deepmind; Also covers Model Training; openevolve ships Docker support for self-hosted deployment; When focusing on replicating or enhancing features of DeepMind's AlphaEvolve in a Python environment. ### When should I choose agent-framework over openevolve? Choose agent-framework over openevolve when License: agent-framework is MIT, openevolve is Apache-2.0; Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent; Also covers Developer Tools; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ### When should I avoid openevolve? If project requires more specialized AI agents not covered by AlphaEvolve techniques For tasks that do not benefit from the specific type of iterative refinement and model training offered by this framework ### When should I avoid agent-framework? Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework. ### Is openevolve or agent-framework more popular on GitHub? agent-framework has more GitHub stars (12,718 vs 7,262). Stars measure visibility, not whether either tool fits your constraints. ### Are openevolve and agent-framework open source? Yes - both are open-source projects on GitHub (openevolve: Apache-2.0, agent-framework: MIT). ### Where can I find alternatives to openevolve or agent-framework? GraphCanon lists graph-backed alternatives at [openevolve alternatives](/tools/algorithmicsuperintelligence-openevolve/alternatives) and [agent-framework alternatives](/tools/microsoft-agent-framework/alternatives) ([openevolve markdown twin](/tools/algorithmicsuperintelligence-openevolve/alternatives.md), [agent-framework markdown twin](/tools/microsoft-agent-framework/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/algorithmicsuperintelligence-openevolve-vs-microsoft-agent-framework.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, openevolve or agent-framework? openevolve: Steady. agent-framework: Very active. 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 openevolve and agent-framework? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openevolve trust report](/tools/algorithmicsuperintelligence-openevolve/trust); [agent-framework trust report](/tools/microsoft-agent-framework/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=algorithmicsuperintelligence-openevolve`](/api/graphcanon/graph?tool=algorithmicsuperintelligence-openevolve) - 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/_