--- title: "headlamp vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kubernetes-sigs-headlamp-vs-significant-gravitas-autogpt" tools: ["kubernetes-sigs-headlamp", "significant-gravitas-autogpt"] --- # headlamp vs AutoGPT *GraphCanon updated Jul 15, 2026* ## Verdict Pick headlamp when headlamp is primarily TypeScript; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; headlamp is TypeScript. [headlamp](https://headlamp.dev) reports 6.9k GitHub stars, 931 forks, and 791 open issues, last pushed Jul 14, 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 [headlamp's repository](https://github.com/kubernetes-sigs/headlamp) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [headlamp](/tools/kubernetes-sigs-headlamp.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | A Kubernetes web UI that is fully-featured, user-friendly and extensible | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 6,871 | 185,464 | | Forks | 931 | 46,111 | | Open issues | 791 | 494 | | Language | TypeScript | 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, Evaluation & Observability | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [headlamp](/tools/kubernetes-sigs-headlamp.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Open issues (now) | 791 | 494 | | Full report | [trust report](/tools/kubernetes-sigs-headlamp/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 headlamp if… - headlamp is primarily TypeScript; AutoGPT is Python. - License: headlamp is Apache-2.0, AutoGPT is Other. - Tags unique to headlamp: cloud-native, dashboard, debugging, devops. - Also covers Evaluation & Observability. - headlamp ships Docker support for self-hosted deployment. ### Choose AutoGPT if… - AutoGPT is primarily Python; headlamp is TypeScript. - License: AutoGPT is Other, headlamp 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 headlamp - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## 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 headlamp and AutoGPT? headlamp: A Kubernetes web UI that is fully-featured, user-friendly and extensible. 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 headlamp over AutoGPT? Choose headlamp over AutoGPT when headlamp is primarily TypeScript; AutoGPT is Python; License: headlamp is Apache-2.0, AutoGPT is Other; Tags unique to headlamp: cloud-native, dashboard, debugging, devops; Also covers Evaluation & Observability; headlamp ships Docker support for self-hosted deployment. ### When should I choose AutoGPT over headlamp? Choose AutoGPT over headlamp when AutoGPT is primarily Python; headlamp is TypeScript; License: AutoGPT is Other, headlamp 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 headlamp? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### 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 headlamp or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 6,871). Stars measure visibility, not whether either tool fits your constraints. ### Are headlamp and AutoGPT open source? Yes - both are open-source projects on GitHub (headlamp: Apache-2.0, AutoGPT: Other). ### Where can I find alternatives to headlamp or AutoGPT? GraphCanon lists graph-backed alternatives at [headlamp alternatives](/tools/kubernetes-sigs-headlamp/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([headlamp markdown twin](/tools/kubernetes-sigs-headlamp/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/kubernetes-sigs-headlamp-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, headlamp or AutoGPT? headlamp: Very 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 headlamp and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [headlamp trust report](/tools/kubernetes-sigs-headlamp/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kubernetes-sigs-headlamp`](/api/graphcanon/graph?tool=kubernetes-sigs-headlamp) - 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/_