--- title: "Patter vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/patterai-patter-vs-significant-gravitas-autogpt" tools: ["patterai-patter", "significant-gravitas-autogpt"] --- # Patter vs AutoGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick Patter when license: Patter is MIT, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, Patter is MIT. [Patter](https://getpatter.com) reports 955 GitHub stars, 100 forks, and 0 open issues, last pushed Jul 6, 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 [Patter's repository](https://github.com/PatterAI/Patter) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [Patter](/tools/patterai-patter.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | Open-source voice-AI SDK. The Vapi/Retell alternative for builders who want to own the stack. Give your AI agent a phone number in 4 lines — Python and TypeScript, MIT licensed, Twilio, Telnyx, and Pl | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 955 | 185,464 | | Forks | 100 | 46,111 | | Open issues | 0 | 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 | MIT | Other | | Categories | AI Agents, LLM Frameworks, Speech & Audio | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Patter](/tools/patterai-patter.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Days since push | 5d | 0d | | Open issues (now) | 0 | 494 | | Full report | [trust report](/tools/patterai-patter/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 Patter if… - License: Patter is MIT, AutoGPT is Other. - Tags unique to Patter: ai-agent, ai-phone-agent, hermes-agent, mastra. - Also covers Speech & Audio. - Patter ships Docker support for self-hosted deployment. ### Choose AutoGPT if… - License: AutoGPT is Other, Patter is MIT. - Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence. - When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ## When NOT to use Patter - 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. ## 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 Patter and AutoGPT? Patter: Open-source voice-AI SDK. The Vapi/Retell alternative for builders who want to own the stack. Give your AI agent a phone number in 4 lines — Python and TypeScript, MIT licensed, Twilio, Telnyx, and Pl. 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 Patter over AutoGPT? Choose Patter over AutoGPT when License: Patter is MIT, AutoGPT is Other; Tags unique to Patter: ai-agent, ai-phone-agent, hermes-agent, mastra; Also covers Speech & Audio; Patter ships Docker support for self-hosted deployment. ### When should I choose AutoGPT over Patter? Choose AutoGPT over Patter when License: AutoGPT is Other, Patter is MIT; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### When should I avoid Patter? 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. ### 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 Patter or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 955). Stars measure visibility, not whether either tool fits your constraints. ### Are Patter and AutoGPT open source? Yes - both are open-source projects on GitHub (Patter: MIT, AutoGPT: Other). ### Where can I find alternatives to Patter or AutoGPT? GraphCanon lists graph-backed alternatives at [Patter alternatives](/tools/patterai-patter/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([Patter markdown twin](/tools/patterai-patter/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/patterai-patter-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, Patter or AutoGPT? Patter: 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 Patter and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Patter trust report](/tools/patterai-patter/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=patterai-patter`](/api/graphcanon/graph?tool=patterai-patter) - 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/_