--- title: "compose vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/docker-compose-vs-significant-gravitas-autogpt" tools: ["docker-compose", "significant-gravitas-autogpt"] --- # compose vs AutoGPT *GraphCanon updated Jul 16, 2026* ## Verdict Pick compose when compose is primarily Go; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; compose is Go. [compose](https://docs.docker.com/compose/) reports 38k GitHub stars, 5.9k forks, and 118 open issues, last pushed Jul 15, 2026. [AutoGPT](https://agpt.co) has 186k stars, 46k forks, and 498 open issues, last pushed Jul 16, 2026. Figures are from public GitHub metadata via [compose's repository](https://github.com/docker/compose) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [compose](/tools/docker-compose.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | Define and run multi-container applications with Docker | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 37,836 | 185,580 | | Forks | 5,886 | 46,079 | | Open issues | 118 | 498 | | Language | Go | 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 | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [compose](/tools/docker-compose.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Open issues (now) | 118 | 498 | | Full report | [trust report](/tools/docker-compose/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 compose if… - compose is primarily Go; AutoGPT is Python. - License: compose is Apache-2.0, AutoGPT is Other. - Tags unique to compose: docker, docker-compose, go, golang. - compose ships Docker support for self-hosted deployment. ### Choose AutoGPT if… - AutoGPT is primarily Python; compose is Go. - License: AutoGPT is Other, compose 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 compose - 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 compose and AutoGPT? compose: Define and run multi-container applications with Docker. 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 compose over AutoGPT? Choose compose over AutoGPT when compose is primarily Go; AutoGPT is Python; License: compose is Apache-2.0, AutoGPT is Other; Tags unique to compose: docker, docker-compose, go, golang; compose ships Docker support for self-hosted deployment. ### When should I choose AutoGPT over compose? Choose AutoGPT over compose when AutoGPT is primarily Python; compose is Go; License: AutoGPT is Other, compose 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 compose? 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 compose or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,580 vs 37,836). Stars measure visibility, not whether either tool fits your constraints. ### Are compose and AutoGPT open source? Yes - both are open-source projects on GitHub (compose: Apache-2.0, AutoGPT: Other). ### Where can I find alternatives to compose or AutoGPT? GraphCanon lists graph-backed alternatives at [compose alternatives](/tools/docker-compose/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([compose markdown twin](/tools/docker-compose/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/docker-compose-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, compose or AutoGPT? compose: 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 compose and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [compose trust report](/tools/docker-compose/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=docker-compose`](/api/graphcanon/graph?tool=docker-compose) - 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/_