--- title: "openevolve vs agent-opt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/algorithmicsuperintelligence-openevolve-vs-future-agi-agent-opt" tools: ["algorithmicsuperintelligence-openevolve", "future-agi-agent-opt"] --- # openevolve vs agent-opt *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-opt if agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies. [openevolve](https://github.com/algorithmicsuperintelligence/openevolve) reports 7.3k GitHub stars, 1.1k forks, and 116 open issues, last pushed Jul 18, 2026. [agent-opt](https://app.futureagi.com) has 71 stars, 7 forks, and 0 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [openevolve's repository](https://github.com/algorithmicsuperintelligence/openevolve) and [agent-opt's repository](https://github.com/future-agi/agent-opt). | | [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) | [agent-opt](/tools/future-agi-agent-opt.md) | | --- | --- | --- | | Tagline | Open-source implementation of AlphaEvolve evolutionary computation framework | Open Source Library for Automated Optimization of AI Agent Workflows | | Stars | 7,262 | 71 | | Forks | 1,139 | 7 | | Open issues | 116 | 0 | | Language | Python | Python | | Adopt for | openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution. | Agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Model Training | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) | [agent-opt](/tools/future-agi-agent-opt.md) | | --- | --- | --- | | Days since push | 37d | 35d | | Open issues (now) | 116 | 0 | | Stars delta | +469 (30d) | Unknown | | Open issues delta | +7 (30d) | Unknown | | Full report | [trust report](/tools/algorithmicsuperintelligence-openevolve/trust.md) | [trust report](/tools/future-agi-agent-opt/trust.md) | ## Shared compatibility - **Python**: [openevolve](/tools/algorithmicsuperintelligence-openevolve.md) - Python runtime; [agent-opt](/tools/future-agi-agent-opt.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-opt - **Adopt for:** Agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies. ## Choose when ### Choose openevolve if… - 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-opt if… - Tags unique to agent-opt: agent, ai-agents, aioptimization, automation. - Also covers Evaluation & Observability. - - When your project needs seamless CI/CD integration alongside automated optimization ## 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-opt - - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10 - - In scenarios where CI/CD integration is not a priority for your AI workflow optimization ## Common questions ### What is the difference between openevolve and agent-opt? openevolve: Open-source implementation of AlphaEvolve evolutionary computation framework. agent-opt: Open Source Library for Automated Optimization of AI Agent Workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose openevolve over agent-opt? Choose openevolve over agent-opt when 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-opt over openevolve? Choose agent-opt over openevolve when Tags unique to agent-opt: agent, ai-agents, aioptimization, automation; Also covers Evaluation & Observability; - When your project needs seamless CI/CD integration alongside automated optimization. ### 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-opt? - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10 - In scenarios where CI/CD integration is not a priority for your AI workflow optimization ### Is openevolve or agent-opt more popular on GitHub? openevolve has more GitHub stars (7,262 vs 71). Stars measure visibility, not whether either tool fits your constraints. ### Are openevolve and agent-opt open source? Yes - both are open-source projects on GitHub (openevolve: Apache-2.0, agent-opt: Apache-2.0). ### Where can I find alternatives to openevolve or agent-opt? GraphCanon lists graph-backed alternatives at [openevolve alternatives](/tools/algorithmicsuperintelligence-openevolve/alternatives) and [agent-opt alternatives](/tools/future-agi-agent-opt/alternatives) ([openevolve markdown twin](/tools/algorithmicsuperintelligence-openevolve/alternatives.md), [agent-opt markdown twin](/tools/future-agi-agent-opt/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-future-agi-agent-opt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, openevolve or agent-opt? openevolve: Steady. agent-opt: Steady. 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-opt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openevolve trust report](/tools/algorithmicsuperintelligence-openevolve/trust); [agent-opt trust report](/tools/future-agi-agent-opt/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/_