--- title: "OpenAlpha_Evolve vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/shyamsaktawat-openalpha-evolve-vs-significant-gravitas-autogpt" tools: ["shyamsaktawat-openalpha-evolve", "significant-gravitas-autogpt"] --- # OpenAlpha_Evolve vs AutoGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick OpenAlpha_Evolve when license: OpenAlpha_Evolve is MIT, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, OpenAlpha_Evolve is MIT. [OpenAlpha_Evolve](https://github.com/shyamsaktawat/OpenAlpha_Evolve) reports 1.0k GitHub stars, 153 forks, and 8 open issues, last pushed May 31, 2025. [AutoGPT](https://agpt.co) has 185k stars, 46k forks, and 494 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [OpenAlpha_Evolve's repository](https://github.com/shyamsaktawat/OpenAlpha_Evolve) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [OpenAlpha_Evolve](/tools/shyamsaktawat-openalpha-evolve.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind's AlphaEvolve. | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 1,035 | 185,464 | | Forks | 153 | 46,111 | | Open issues | 8 | 494 | | Language | Python | Python | | Adopt for | - | AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents, Inference & Serving, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OpenAlpha_Evolve](/tools/shyamsaktawat-openalpha-evolve.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 405d | 0d | | Open issues (now) | 8 | 494 | | Owner type | User | Organization | | Full report | [trust report](/tools/shyamsaktawat-openalpha-evolve/trust.md) | [trust report](/tools/significant-gravitas-autogpt/trust.md) | ## Decision facts: AutoGPT - **Adopt for:** AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude. ## Choose when ### Choose OpenAlpha_Evolve if… - License: OpenAlpha_Evolve is MIT, AutoGPT is Other. - Tags unique to OpenAlpha_Evolve: alphacode, alphafold, coding-agent, discovery. - Also covers Inference & Serving. ### Choose AutoGPT if… - License: AutoGPT is Other, OpenAlpha_Evolve is MIT. - Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence. - When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ## When NOT to use OpenAlpha_Evolve - Last GitHub push was 406 days ago (dormant maintenance, May 31, 2025). Validate activity before betting a new project on OpenAlpha_Evolve. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use AutoGPT - Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. - If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools. ## Common questions ### What is the difference between OpenAlpha_Evolve and AutoGPT? OpenAlpha_Evolve: OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind's AlphaEvolve.. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories. ### When should I choose OpenAlpha_Evolve over AutoGPT? Choose OpenAlpha_Evolve over AutoGPT when License: OpenAlpha_Evolve is MIT, AutoGPT is Other; Tags unique to OpenAlpha_Evolve: alphacode, alphafold, coding-agent, discovery; Also covers Inference & Serving. ### When should I choose AutoGPT over OpenAlpha_Evolve? Choose AutoGPT over OpenAlpha_Evolve when License: AutoGPT is Other, OpenAlpha_Evolve is MIT; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### When should I avoid OpenAlpha_Evolve? Last GitHub push was 406 days ago (dormant maintenance, May 31, 2025). Validate activity before betting a new project on OpenAlpha_Evolve. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid AutoGPT? Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools. ### Is OpenAlpha_Evolve or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 1,035). Stars measure visibility, not whether either tool fits your constraints. ### Are OpenAlpha_Evolve and AutoGPT open source? Yes - both are open-source projects on GitHub (OpenAlpha_Evolve: MIT, AutoGPT: Other). ### Where can I find alternatives to OpenAlpha_Evolve or AutoGPT? GraphCanon lists graph-backed alternatives at [OpenAlpha_Evolve alternatives](/tools/shyamsaktawat-openalpha-evolve/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([OpenAlpha_Evolve markdown twin](/tools/shyamsaktawat-openalpha-evolve/alternatives.md), [AutoGPT markdown twin](/tools/significant-gravitas-autogpt/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/shyamsaktawat-openalpha-evolve-vs-significant-gravitas-autogpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, OpenAlpha_Evolve or AutoGPT? OpenAlpha_Evolve: Dormant. AutoGPT: 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 OpenAlpha_Evolve and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OpenAlpha_Evolve trust report](/tools/shyamsaktawat-openalpha-evolve/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=shyamsaktawat-openalpha-evolve`](/api/graphcanon/graph?tool=shyamsaktawat-openalpha-evolve) - 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/_