--- title: "oh-my-agent vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/first-fluke-oh-my-agent-vs-significant-gravitas-autogpt" tools: ["first-fluke-oh-my-agent", "significant-gravitas-autogpt"] --- # oh-my-agent vs AutoGPT *GraphCanon updated Jul 15, 2026* ## Verdict Pick oh-my-agent when oh-my-agent is primarily TypeScript; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; oh-my-agent is TypeScript. [oh-my-agent](https://firstfluke.com/oh-my-agent/) reports 1.2k GitHub stars, 135 forks, and 0 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 [oh-my-agent's repository](https://github.com/first-fluke/oh-my-agent) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [oh-my-agent](/tools/first-fluke-oh-my-agent.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | Portable, vendor-agnostic agent harness for project-specific skills, workflows, and agent teams aligned with your codebase, conventions, and engineering standards. | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 1,164 | 185,464 | | Forks | 135 | 46,111 | | Open issues | 0 | 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 | MIT | Other | | Categories | AI Agents | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [oh-my-agent](/tools/first-fluke-oh-my-agent.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Open issues (now) | 0 | 494 | | Full report | [trust report](/tools/first-fluke-oh-my-agent/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 oh-my-agent if… - oh-my-agent is primarily TypeScript; AutoGPT is Python. - License: oh-my-agent is MIT, AutoGPT is Other. - Tags unique to oh-my-agent: agent-harness, agent-skills, agentic-coding, ai-agents. ### Choose AutoGPT if… - AutoGPT is primarily Python; oh-my-agent is TypeScript. - License: AutoGPT is Other, oh-my-agent is MIT. - 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 oh-my-agent - 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 oh-my-agent and AutoGPT? oh-my-agent: Portable, vendor-agnostic agent harness for project-specific skills, workflows, and agent teams aligned with your codebase, conventions, and engineering standards.. 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 oh-my-agent over AutoGPT? Choose oh-my-agent over AutoGPT when oh-my-agent is primarily TypeScript; AutoGPT is Python; License: oh-my-agent is MIT, AutoGPT is Other; Tags unique to oh-my-agent: agent-harness, agent-skills, agentic-coding, ai-agents. ### When should I choose AutoGPT over oh-my-agent? Choose AutoGPT over oh-my-agent when AutoGPT is primarily Python; oh-my-agent is TypeScript; License: AutoGPT is Other, oh-my-agent is MIT; 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 oh-my-agent? 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 oh-my-agent or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 1,164). Stars measure visibility, not whether either tool fits your constraints. ### Are oh-my-agent and AutoGPT open source? Yes - both are open-source projects on GitHub (oh-my-agent: MIT, AutoGPT: Other). ### Where can I find alternatives to oh-my-agent or AutoGPT? GraphCanon lists graph-backed alternatives at [oh-my-agent alternatives](/tools/first-fluke-oh-my-agent/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([oh-my-agent markdown twin](/tools/first-fluke-oh-my-agent/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/first-fluke-oh-my-agent-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, oh-my-agent or AutoGPT? oh-my-agent: 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 oh-my-agent and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oh-my-agent trust report](/tools/first-fluke-oh-my-agent/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=first-fluke-oh-my-agent`](/api/graphcanon/graph?tool=first-fluke-oh-my-agent) - 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/_