--- title: "oh-my-opencode-slim vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alvinunreal-oh-my-opencode-slim-vs-significant-gravitas-autogpt" tools: ["alvinunreal-oh-my-opencode-slim", "significant-gravitas-autogpt"] --- # oh-my-opencode-slim vs AutoGPT *GraphCanon updated Jul 15, 2026* ## Verdict Pick oh-my-opencode-slim when oh-my-opencode-slim is primarily TypeScript; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; oh-my-opencode-slim is TypeScript. [oh-my-opencode-slim](https://ohmyopencodeslim.com) reports 6.9k GitHub stars, 417 forks, and 31 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-opencode-slim's repository](https://github.com/alvinunreal/oh-my-opencode-slim) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [oh-my-opencode-slim](/tools/alvinunreal-oh-my-opencode-slim.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | Lean, fine tuned Opencode multi agent suite · Mix any models · Auto delegate tasks | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 6,922 | 185,464 | | Forks | 417 | 46,111 | | Open issues | 31 | 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, Developer Tools, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [oh-my-opencode-slim](/tools/alvinunreal-oh-my-opencode-slim.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Open issues (now) | 31 | 494 | | Owner type | User | Organization | | Full report | [trust report](/tools/alvinunreal-oh-my-opencode-slim/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-opencode-slim if… - oh-my-opencode-slim is primarily TypeScript; AutoGPT is Python. - License: oh-my-opencode-slim is MIT, AutoGPT is Other. - Tags unique to oh-my-opencode-slim: antigravity, cerebras, oh-my-opencode, opencode. - Also covers Developer Tools. - oh-my-opencode-slim ships an MCP server manifest. ### Choose AutoGPT if… - AutoGPT is primarily Python; oh-my-opencode-slim is TypeScript. - License: AutoGPT is Other, oh-my-opencode-slim is MIT. - Tags unique to AutoGPT: agents, ai, artificial-intelligence, autonomous-agents. - 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-opencode-slim - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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-opencode-slim and AutoGPT? oh-my-opencode-slim: Lean, fine tuned Opencode multi agent suite · Mix any models · Auto delegate tasks. 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-opencode-slim over AutoGPT? Choose oh-my-opencode-slim over AutoGPT when oh-my-opencode-slim is primarily TypeScript; AutoGPT is Python; License: oh-my-opencode-slim is MIT, AutoGPT is Other; Tags unique to oh-my-opencode-slim: antigravity, cerebras, oh-my-opencode, opencode; Also covers Developer Tools; oh-my-opencode-slim ships an MCP server manifest. ### When should I choose AutoGPT over oh-my-opencode-slim? Choose AutoGPT over oh-my-opencode-slim when AutoGPT is primarily Python; oh-my-opencode-slim is TypeScript; License: AutoGPT is Other, oh-my-opencode-slim is MIT; Tags unique to AutoGPT: agents, ai, artificial-intelligence, autonomous-agents; 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-opencode-slim? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### 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-opencode-slim or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 6,922). Stars measure visibility, not whether either tool fits your constraints. ### Are oh-my-opencode-slim and AutoGPT open source? Yes - both are open-source projects on GitHub (oh-my-opencode-slim: MIT, AutoGPT: Other). ### Where can I find alternatives to oh-my-opencode-slim or AutoGPT? GraphCanon lists graph-backed alternatives at [oh-my-opencode-slim alternatives](/tools/alvinunreal-oh-my-opencode-slim/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([oh-my-opencode-slim markdown twin](/tools/alvinunreal-oh-my-opencode-slim/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/alvinunreal-oh-my-opencode-slim-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-opencode-slim or AutoGPT? oh-my-opencode-slim: 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-opencode-slim and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oh-my-opencode-slim trust report](/tools/alvinunreal-oh-my-opencode-slim/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alvinunreal-oh-my-opencode-slim`](/api/graphcanon/graph?tool=alvinunreal-oh-my-opencode-slim) - 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/_