--- title: "coca vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/phodal-coca-vs-significant-gravitas-autogpt" tools: ["phodal-coca", "significant-gravitas-autogpt"] --- # coca vs AutoGPT *GraphCanon updated Sep 20, 2026* ## Verdict Pick coca if coca is a comprehensive toolbox for analyzing and refactoring legacy systems using features such as call graph visualization, concept analysis, and design pattern suggestions; pick AutoGPT if autoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options. [coca](https://coca.migration.ink/) reports 989 GitHub stars, 117 forks, and 0 open issues, last pushed Jan 6, 2026. [AutoGPT](https://agpt.co) has 187k stars, 46k forks, and 593 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [coca's repository](https://github.com/phodal/coca) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [coca](/tools/phodal-coca.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | Toolbox for legacy system refactoring and analysis | Accessible AI for everyone, providing tools for focus on what matters | | Stars | 989 | 187,424 | | Forks | 117 | 46,006 | | Open issues | 0 | 593 | | Language | Go | Python | | Adopt for | Coca is a comprehensive toolbox for analyzing and refactoring legacy systems using features such as call graph visualization, concept analysis, and design pattern suggestions. | AutoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options. | | Persona | - | - | | Runtime | - | - | | License | The Mozilla Public License version 2.0 applies to Coca, which offers a balance between open source freedom and ensuring contributions back to the community. | AutoGPT's `autogpt_platform/` component is licensed under Polyform Shield, which is free for personal and internal business use but cannot be sold as a competing hosted service. The `classic/` and all | | Categories | Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [coca](/tools/phodal-coca.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 256d | 0d | | Open issues (now) | 0 | 593 | | Stars delta | -1 (30d) | +801 (30d) | | Open issues delta | 0 (30d) | +76 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/phodal-coca/trust.md) | [trust report](/tools/significant-gravitas-autogpt/trust.md) | ## Decision facts: coca - **Pricing:** freemium - Coca is freely available under an open-source license (MPL-2.0). There are no paid versions or premium features listed. - **Adopt for:** Coca is a comprehensive toolbox for analyzing and refactoring legacy systems using features such as call graph visualization, concept analysis, and design pattern suggestions. - **License detail:** The Mozilla Public License version 2.0 applies to Coca, which offers a balance between open source freedom and ensuring contributions back to the community. ## Decision facts: AutoGPT - **Adopt for:** AutoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options. - **License detail:** AutoGPT's `autogpt_platform/` component is licensed under Polyform Shield, which is free for personal and internal business use but cannot be sold as a competing hosted service. The `classic/` and all ## Choose when ### Choose coca if… - coca is primarily Go; AutoGPT is Python. - License: coca is MPL-2.0, AutoGPT is Other. - Pricing: Coca is freely available under an open-source license (MPL-2.0). There are no paid versions or premium features listed.. - Tags unique to coca: architecture, automation, git, refactor. - Use Coca when you are working with complex legacy Go applications that need detailed analysis of their architecture to facilitate informed refactoring decisions ### Choose AutoGPT if… - AutoGPT is primarily Python; coca is Go. - License: AutoGPT is Other, coca is MPL-2.0. - Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents. - Also covers AI Agents. - When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers. ## When NOT to use coca - Avoid using Coca for projects that do not involve Go language as it is specifically designed with this in mind - Do not use Coca if your primary concern is runtime performance analysis; its strengths lie in structural and architectural code analysis rather than performance profiling of running systems ## When NOT to use AutoGPT - If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment. - When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you. - If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support. ## Common questions ### What is the difference between coca and AutoGPT? coca: Toolbox for legacy system refactoring and analysis. AutoGPT: Accessible AI for everyone, providing tools for focus on what matters. See the comparison table for live GitHub stats and shared categories. ### When should I choose coca over AutoGPT? Choose coca over AutoGPT when coca is primarily Go; AutoGPT is Python; License: coca is MPL-2.0, AutoGPT is Other; Pricing: Coca is freely available under an open-source license (MPL-2.0). There are no paid versions or premium features listed.; Tags unique to coca: architecture, automation, git, refactor; Use Coca when you are working with complex legacy Go applications that need detailed analysis of their architecture to facilitate informed refactoring decisions. ### When should I choose AutoGPT over coca? Choose AutoGPT over coca when AutoGPT is primarily Python; coca is Go; License: AutoGPT is Other, coca is MPL-2.0; Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents; Also covers AI Agents; When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers. ### When should I avoid coca? Avoid using Coca for projects that do not involve Go language as it is specifically designed with this in mind Do not use Coca if your primary concern is runtime performance analysis; its strengths lie in structural and architectural code analysis rather than performance profiling of running systems ### When should I avoid AutoGPT? If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment. When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you. If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support. ### Is coca or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (187,424 vs 989). Stars measure visibility, not whether either tool fits your constraints. ### Are coca and AutoGPT open source? Yes - both are open-source projects on GitHub (coca: MPL-2.0, AutoGPT: Other). ### Where can I find alternatives to coca or AutoGPT? GraphCanon lists graph-backed alternatives at [coca alternatives](/tools/phodal-coca/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([coca markdown twin](/tools/phodal-coca/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/phodal-coca-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, coca or AutoGPT? coca: Slowing. 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 coca and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [coca trust report](/tools/phodal-coca/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=phodal-coca`](/api/graphcanon/graph?tool=phodal-coca) - 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/_