Comparison
coca vs AutoGPT
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.
Markdown twin · coca alternatives · AutoGPT alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | coca | AutoGPT |
|---|---|---|
| Maintenance | Slowing (256d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- coca
- Toolbox for legacy system refactoring and analysis
- AutoGPT
- Accessible AI for everyone, providing tools for focus on what matters
Stars
- coca
- 989
- AutoGPT
- 187k
Forks
- coca
- 117
- AutoGPT
- 46k
Open issues
- coca
- 0
- AutoGPT
- 593
Language
- coca
- Go
- AutoGPT
- Python
Adopt for
- coca
- 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
- AutoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
Persona
- coca
- -
- AutoGPT
- -
Runtime
- coca
- -
- AutoGPT
- -
License
- coca
- 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
- 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
Last pushed
- coca
- Jan 6, 2026
- AutoGPT
- Sep 18, 2026
Categories
- coca
- Developer Tools
- AutoGPT
- AI Agents, Developer Tools
Trust and health
Maintenance
- coca
- Slowing (36%)
- AutoGPT
- Very active (96%)
Days since push
- coca
- 256d
- AutoGPT
- 0d
Open issues (now)
- coca
- 0
- AutoGPT
- 593
Stars delta
- coca
- -1 (30d)
- AutoGPT
- +801 (30d)
Open issues delta
- coca
- 0 (30d)
- AutoGPT
- +76 (30d)
Owner type
- coca
- User
- AutoGPT
- Organization
Full report
- coca
- Trust report
- AutoGPT
- Trust report
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
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
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (phodal/coca) · observed Sep 20, 2026
- GitHub forks (phodal/coca) · observed Sep 20, 2026
- Last push (phodal/coca) · observed Jan 6, 2026
- License file (MPL-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Sep 20, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Sep 20, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: coca 989 · AutoGPT 187k (synced Sep 20, 2026).
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 and AutoGPT alternatives (coca markdown twin, AutoGPT markdown twin), 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 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; AutoGPT trust report.