--- title: "entroly vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/juyterman1000-entroly-vs-significant-gravitas-autogpt" tools: ["juyterman1000-entroly", "significant-gravitas-autogpt"] --- # entroly vs AutoGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick entroly when license: entroly is Apache-2.0, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, entroly is Apache-2.0. [entroly](https://juyterman1000.github.io/entroly/docs/dashboard.html) reports 420 GitHub stars, 66 forks, and 2 open issues, last pushed Jul 11, 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 [entroly's repository](https://github.com/juyterman1000/entroly) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [entroly](/tools/juyterman1000-entroly.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | Local context-control plane for AI coding agents: select evidence, compress recoverably, keep caches hot, and verify answers. MCP/proxy/SDK for Cursor, Claude Code, Codex, and Aider. | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 420 | 185,464 | | Forks | 66 | 46,111 | | Open issues | 2 | 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 | Apache-2.0 | Other | | Categories | AI Agents, LLM Frameworks, Computer Vision | LLM Frameworks, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [entroly](/tools/juyterman1000-entroly.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Open issues (now) | 2 | 494 | | Owner type | User | Organization | | Security scan | 1 medium (1 medium) | No lockfile | | Full report | [trust report](/tools/juyterman1000-entroly/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 entroly if… - License: entroly is Apache-2.0, AutoGPT is Other. - Tags unique to entroly: ai-hallucination, chatgpt, claude-code, anthropic. - Also covers Computer Vision. - entroly ships Docker support for self-hosted deployment. ### Choose AutoGPT if… - License: AutoGPT is Other, entroly is Apache-2.0. - Tags unique to AutoGPT: agents, llm, artificial-intelligence, agentic-ai. - When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ## When NOT to use entroly - 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 entroly and AutoGPT? entroly: Local context-control plane for AI coding agents: select evidence, compress recoverably, keep caches hot, and verify answers. MCP/proxy/SDK for Cursor, Claude Code, Codex, and Aider.. 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 entroly over AutoGPT? Choose entroly over AutoGPT when License: entroly is Apache-2.0, AutoGPT is Other; Tags unique to entroly: ai-hallucination, chatgpt, claude-code, anthropic; Also covers Computer Vision; entroly ships Docker support for self-hosted deployment. ### When should I choose AutoGPT over entroly? Choose AutoGPT over entroly when License: AutoGPT is Other, entroly is Apache-2.0; Tags unique to AutoGPT: agents, llm, artificial-intelligence, agentic-ai; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### When should I avoid entroly? 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 entroly or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 420). Stars measure visibility, not whether either tool fits your constraints. ### Are entroly and AutoGPT open source? Yes - both are open-source projects on GitHub (entroly: Apache-2.0, AutoGPT: Other). ### Where can I find alternatives to entroly or AutoGPT? GraphCanon lists graph-backed alternatives at [entroly alternatives](/tools/juyterman1000-entroly/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([entroly markdown twin](/tools/juyterman1000-entroly/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/juyterman1000-entroly-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, entroly or AutoGPT? entroly: 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 entroly and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [entroly trust report](/tools/juyterman1000-entroly/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=juyterman1000-entroly`](/api/graphcanon/graph?tool=juyterman1000-entroly) - 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/_