--- title: "loopy vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/forward-future-loopy-vs-significant-gravitas-autogpt" tools: ["forward-future-loopy", "significant-gravitas-autogpt"] --- # loopy vs AutoGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick loopy when loopy is primarily JavaScript; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; loopy is JavaScript. [loopy](https://signals.forwardfuture.ai/loop-library/) reports 2.6k GitHub stars, 225 forks, and 1 open issues, last pushed Jul 7, 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 [loopy's repository](https://github.com/Forward-Future/loopy) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [loopy](/tools/forward-future-loopy.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | A library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable agent workflows. | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 2,642 | 185,464 | | Forks | 225 | 46,111 | | Open issues | 1 | 494 | | Language | JavaScript | 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 | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [loopy](/tools/forward-future-loopy.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Days since push | 3d | 0d | | Open issues (now) | 1 | 494 | | Full report | [trust report](/tools/forward-future-loopy/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 loopy if… - loopy is primarily JavaScript; AutoGPT is Python. - License: loopy is MIT, AutoGPT is Other. - Tags unique to loopy: agent-skills, agentic-workflows, ai-agents, automation. ### Choose AutoGPT if… - AutoGPT is primarily Python; loopy is JavaScript. - License: AutoGPT is Other, loopy 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 loopy - 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 loopy and AutoGPT? loopy: A library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable agent workflows.. 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 loopy over AutoGPT? Choose loopy over AutoGPT when loopy is primarily JavaScript; AutoGPT is Python; License: loopy is MIT, AutoGPT is Other; Tags unique to loopy: agent-skills, agentic-workflows, ai-agents, automation. ### When should I choose AutoGPT over loopy? Choose AutoGPT over loopy when AutoGPT is primarily Python; loopy is JavaScript; License: AutoGPT is Other, loopy 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 loopy? 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 loopy or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 2,642). Stars measure visibility, not whether either tool fits your constraints. ### Are loopy and AutoGPT open source? Yes - both are open-source projects on GitHub (loopy: MIT, AutoGPT: Other). ### Where can I find alternatives to loopy or AutoGPT? GraphCanon lists graph-backed alternatives at [loopy alternatives](/tools/forward-future-loopy/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([loopy markdown twin](/tools/forward-future-loopy/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/forward-future-loopy-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, loopy or AutoGPT? loopy: 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 loopy and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [loopy trust report](/tools/forward-future-loopy/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=forward-future-loopy`](/api/graphcanon/graph?tool=forward-future-loopy) - 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/_