--- title: "openakita vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/openakita-openakita-vs-significant-gravitas-autogpt" tools: ["openakita-openakita", "significant-gravitas-autogpt"] --- # openakita vs AutoGPT *GraphCanon updated Jul 15, 2026* ## Verdict Pick openakita when license: openakita is AGPL-3.0, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, openakita is AGPL-3.0. [openakita](http://openakita.ai) reports 1.8k GitHub stars, 262 forks, and 55 open issues, last pushed Jul 15, 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 [openakita's repository](https://github.com/openakita/openakita) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [openakita](/tools/openakita-openakita.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | An open-source AI assistant framework with skills and agent architecture | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 1,843 | 185,464 | | Forks | 262 | 46,111 | | Open issues | 55 | 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 | AGPL-3.0 | Other | | Categories | AI Agents | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openakita](/tools/openakita-openakita.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Open issues (now) | 55 | 494 | | Owner type | User | Organization | | Full report | [trust report](/tools/openakita-openakita/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 openakita if… - License: openakita is AGPL-3.0, AutoGPT is Other. - Tags unique to openakita: agent, assistant, automation, claw. - More recently updated (last pushed Jul 15, 2026). ### Choose AutoGPT if… - License: AutoGPT is Other, openakita is AGPL-3.0. - Tags unique to AutoGPT: agentic-ai, agents, 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 openakita - 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 openakita and AutoGPT? openakita: An open-source AI assistant framework with skills and agent architecture. 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 openakita over AutoGPT? Choose openakita over AutoGPT when License: openakita is AGPL-3.0, AutoGPT is Other; Tags unique to openakita: agent, assistant, automation, claw; More recently updated (last pushed Jul 15, 2026). ### When should I choose AutoGPT over openakita? Choose AutoGPT over openakita when License: AutoGPT is Other, openakita is AGPL-3.0; Tags unique to AutoGPT: agentic-ai, agents, 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 openakita? 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 openakita or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 1,843). Stars measure visibility, not whether either tool fits your constraints. ### Are openakita and AutoGPT open source? Yes - both are open-source projects on GitHub (openakita: AGPL-3.0, AutoGPT: Other). ### Where can I find alternatives to openakita or AutoGPT? GraphCanon lists graph-backed alternatives at [openakita alternatives](/tools/openakita-openakita/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([openakita markdown twin](/tools/openakita-openakita/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/openakita-openakita-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, openakita or AutoGPT? openakita: 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 openakita and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openakita trust report](/tools/openakita-openakita/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=openakita-openakita`](/api/graphcanon/graph?tool=openakita-openakita) - 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/_