--- title: "OpenAGI vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agiresearch-openagi-vs-significant-gravitas-autogpt" tools: ["agiresearch-openagi", "significant-gravitas-autogpt"] --- # OpenAGI vs AutoGPT *GraphCanon updated Jul 12, 2026* ## Verdict Pick OpenAGI if openAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK; pick AutoGPT if 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. [OpenAGI](https://docs.aios.foundation) reports 2.3k GitHub stars, 209 forks, and 9 open issues, last pushed Nov 28, 2024. [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 [OpenAGI's repository](https://github.com/agiresearch/OpenAGI) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [OpenAGI](/tools/agiresearch-openagi.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | Agent creation package for building agents in AIOS | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 2,275 | 185,464 | | Forks | 209 | 46,111 | | Open issues | 9 | 494 | | Language | Python | Python | | Adopt for | OpenAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK. | 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 | MIT license allows freedom to use for any purpose with attribution. | Other | | Categories | AI Agents | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OpenAGI](/tools/agiresearch-openagi.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 589d | 0d | | Open issues (now) | 9 | 494 | | Security scan | 1 low (1 low) | No lockfile | | Full report | [trust report](/tools/agiresearch-openagi/trust.md) | [trust report](/tools/significant-gravitas-autogpt/trust.md) | ## Decision facts: OpenAGI - **Hosting:** self hosted - OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure. - **Pricing:** freemium - Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository. - **Adopt for:** OpenAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK. - **License detail:** MIT license allows freedom to use for any purpose with attribution. ## 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 OpenAGI if… - License: OpenAGI is MIT, AutoGPT is Other. - OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure. - Pricing: Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository.. - Tags unique to OpenAGI: agiresearch, aios. - - **Current Projects**: If you have existing projects built on OpenAGI and they need continued maintenance or minor updates rather than a major overhaul ### Choose AutoGPT if… - License: AutoGPT is Other, OpenAGI is MIT. - Tags unique to AutoGPT: agentic-ai, ai, artificial-intelligence, autonomous-agents. - 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 OpenAGI - - **New Projects**: OpenAGI recommends migration to Cerebrum, marking it unsuitable for new projects looking towards future-proof solutions - - **Advanced Development Needs**: When requiring enhanced capabilities or features that are only included in the newer framework (Cerebrum), sticking with OpenAGI may limit advancement ## 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 OpenAGI and AutoGPT? OpenAGI: Agent creation package for building agents in AIOS. 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 OpenAGI over AutoGPT? Choose OpenAGI over AutoGPT when License: OpenAGI is MIT, AutoGPT is Other; OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure; Pricing: Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository.; Tags unique to OpenAGI: agiresearch, aios; - **Current Projects**: If you have existing projects built on OpenAGI and they need continued maintenance or minor updates rather than a major overhaul. ### When should I choose AutoGPT over OpenAGI? Choose AutoGPT over OpenAGI when License: AutoGPT is Other, OpenAGI is MIT; Tags unique to AutoGPT: agentic-ai, ai, artificial-intelligence, autonomous-agents; 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 OpenAGI? - **New Projects**: OpenAGI recommends migration to Cerebrum, marking it unsuitable for new projects looking towards future-proof solutions - **Advanced Development Needs**: When requiring enhanced capabilities or features that are only included in the newer framework (Cerebrum), sticking with OpenAGI may limit advancement ### 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 OpenAGI or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 2,275). Stars measure visibility, not whether either tool fits your constraints. ### Are OpenAGI and AutoGPT open source? Yes - both are open-source projects on GitHub (OpenAGI: MIT, AutoGPT: Other). ### Where can I find alternatives to OpenAGI or AutoGPT? GraphCanon lists graph-backed alternatives at [OpenAGI alternatives](/tools/agiresearch-openagi/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([OpenAGI markdown twin](/tools/agiresearch-openagi/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/agiresearch-openagi-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, OpenAGI or AutoGPT? OpenAGI: Dormant. 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 OpenAGI and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OpenAGI trust report](/tools/agiresearch-openagi/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agiresearch-openagi`](/api/graphcanon/graph?tool=agiresearch-openagi) - 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/_