--- title: "AutoGPT vs superagent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/significant-gravitas-autogpt-vs-superagent-ai-superagent" tools: ["significant-gravitas-autogpt", "superagent-ai-superagent"] --- # AutoGPT vs superagent *GraphCanon updated Jul 11, 2026* ## Verdict Pick AutoGPT when autoGPT is primarily Python; superagent is TypeScript; pick superagent when superagent is primarily TypeScript; AutoGPT is Python. [AutoGPT](https://agpt.co) reports 185k GitHub stars, 46k forks, and 494 open issues, last pushed Jul 11, 2026. [superagent](https://superagent.sh) has 6.7k stars, 963 forks, and 9 open issues, last pushed Apr 11, 2026. Figures are from public GitHub metadata via [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT) and [superagent's repository](https://github.com/superagent-ai/superagent). | | [AutoGPT](/tools/significant-gravitas-autogpt.md) | [superagent](/tools/superagent-ai-superagent.md) | | --- | --- | --- | | Tagline | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers. | | Stars | 185,464 | 6,669 | | Forks | 46,111 | 963 | | Open issues | 494 | 9 | | Language | Python | TypeScript | | 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 | Other | MIT | | Categories | LLM Frameworks, AI Agents | AI Agents, LLM Frameworks, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AutoGPT](/tools/significant-gravitas-autogpt.md) | [superagent](/tools/superagent-ai-superagent.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 91d | | Open issues (now) | 494 | 9 | | Full report | [trust report](/tools/significant-gravitas-autogpt/trust.md) | [trust report](/tools/superagent-ai-superagent/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 AutoGPT if… - AutoGPT is primarily Python; superagent is TypeScript. - License: AutoGPT is Other, superagent is MIT. - Tags unique to AutoGPT: agents, artificial-intelligence, agentic-ai, autonomous-agents. - When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### Choose superagent if… - superagent is primarily TypeScript; AutoGPT is Python. - License: superagent is MIT, AutoGPT is Other. - Tags unique to superagent: prompt-injection, security, openai, typescript. - Also covers Inference & Serving. ## 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. ## When NOT to use superagent - Last GitHub push was 92 days ago (slowing maintenance, Apr 11, 2026). Validate activity before betting a new project on superagent. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between AutoGPT and superagent? AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. superagent: Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.. See the comparison table for live GitHub stats and shared categories. ### When should I choose AutoGPT over superagent? Choose AutoGPT over superagent when AutoGPT is primarily Python; superagent is TypeScript; License: AutoGPT is Other, superagent is MIT; Tags unique to AutoGPT: agents, artificial-intelligence, agentic-ai, autonomous-agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### When should I choose superagent over AutoGPT? Choose superagent over AutoGPT when superagent is primarily TypeScript; AutoGPT is Python; License: superagent is MIT, AutoGPT is Other; Tags unique to superagent: prompt-injection, security, openai, typescript; Also covers Inference & Serving. ### 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. ### When should I avoid superagent? Last GitHub push was 92 days ago (slowing maintenance, Apr 11, 2026). Validate activity before betting a new project on superagent. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is AutoGPT or superagent more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 6,669). Stars measure visibility, not whether either tool fits your constraints. ### Are AutoGPT and superagent open source? Yes - both are open-source projects on GitHub (AutoGPT: Other, superagent: MIT). ### Where can I find alternatives to AutoGPT or superagent? GraphCanon lists graph-backed alternatives at [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) and [superagent alternatives](/tools/superagent-ai-superagent/alternatives) ([AutoGPT markdown twin](/tools/significant-gravitas-autogpt/alternatives.md), [superagent markdown twin](/tools/superagent-ai-superagent/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/significant-gravitas-autogpt-vs-superagent-ai-superagent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AutoGPT or superagent? AutoGPT: Very active. superagent: Slowing. 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 AutoGPT and superagent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust); [superagent trust report](/tools/superagent-ai-superagent/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=significant-gravitas-autogpt`](/api/graphcanon/graph?tool=significant-gravitas-autogpt) - 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/_