--- title: "kapitan vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kapicorp-kapitan-vs-significant-gravitas-autogpt" tools: ["kapicorp-kapitan", "significant-gravitas-autogpt"] --- # kapitan vs AutoGPT *GraphCanon updated Jul 15, 2026* ## Verdict Pick kapitan when license: kapitan is Apache-2.0, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, kapitan is Apache-2.0. [kapitan](https://kapitan.dev) reports 1.9k GitHub stars, 215 forks, and 149 open issues, last pushed Jul 3, 2026. [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 [kapitan's repository](https://github.com/kapicorp/kapitan) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [kapitan](/tools/kapicorp-kapitan.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | Generic templated configuration management for Kubernetes, Terraform and other things | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 1,921 | 185,464 | | Forks | 215 | 46,111 | | Open issues | 149 | 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 | Apache-2.0 | Other | | Categories | AI Agents, Computer Vision | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [kapitan](/tools/kapicorp-kapitan.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 11d | 0d | | Open issues (now) | 149 | 494 | | Full report | [trust report](/tools/kapicorp-kapitan/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 kapitan if… - License: kapitan is Apache-2.0, AutoGPT is Other. - Tags unique to kapitan: aws-kms, declarative, devops, devops-tools. - Also covers Computer Vision. - kapitan ships Docker support for self-hosted deployment. ### Choose AutoGPT if… - License: AutoGPT is Other, kapitan is Apache-2.0. - Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence. - Also covers LLM Frameworks. - When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ## When NOT to use kapitan - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ## 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 kapitan and AutoGPT? kapitan: Generic templated configuration management for Kubernetes, Terraform and other things. 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 kapitan over AutoGPT? Choose kapitan over AutoGPT when License: kapitan is Apache-2.0, AutoGPT is Other; Tags unique to kapitan: aws-kms, declarative, devops, devops-tools; Also covers Computer Vision; kapitan ships Docker support for self-hosted deployment. ### When should I choose AutoGPT over kapitan? Choose AutoGPT over kapitan when License: AutoGPT is Other, kapitan is Apache-2.0; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; Also covers LLM Frameworks; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### When should I avoid kapitan? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ### 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 kapitan or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 1,921). Stars measure visibility, not whether either tool fits your constraints. ### Are kapitan and AutoGPT open source? Yes - both are open-source projects on GitHub (kapitan: Apache-2.0, AutoGPT: Other). ### Where can I find alternatives to kapitan or AutoGPT? GraphCanon lists graph-backed alternatives at [kapitan alternatives](/tools/kapicorp-kapitan/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([kapitan markdown twin](/tools/kapicorp-kapitan/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/kapicorp-kapitan-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, kapitan or AutoGPT? kapitan: Active. 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 kapitan and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [kapitan trust report](/tools/kapicorp-kapitan/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kapicorp-kapitan`](/api/graphcanon/graph?tool=kapicorp-kapitan) - 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/_