--- title: "ReNeLLM vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/njunlp-renellm-vs-significant-gravitas-autogpt" tools: ["njunlp-renellm", "significant-gravitas-autogpt"] --- # ReNeLLM vs AutoGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick ReNeLLM when license: ReNeLLM is MIT, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, ReNeLLM is MIT. [ReNeLLM](https://github.com/NJUNLP/ReNeLLM) reports 163 GitHub stars, 17 forks, and 0 open issues, last pushed Sep 2, 2025. [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 [ReNeLLM's repository](https://github.com/NJUNLP/ReNeLLM) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [ReNeLLM](/tools/njunlp-renellm.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily". | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 163 | 185,464 | | Forks | 17 | 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 | LLM Frameworks, Vector Databases, Speech & Audio | LLM Frameworks, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ReNeLLM](/tools/njunlp-renellm.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 312d | 0d | | Open issues (now) | 0 | 494 | | Security scan | 73 low (73 low) | No lockfile | | Full report | [trust report](/tools/njunlp-renellm/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 ReNeLLM if… - License: ReNeLLM is MIT, AutoGPT is Other. - Tags unique to ReNeLLM: python. - Also covers Vector Databases, Speech & Audio. ### Choose AutoGPT if… - License: AutoGPT is Other, ReNeLLM is MIT. - Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence. - Also covers AI Agents. - When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ## When NOT to use ReNeLLM - Last GitHub push was 312 days ago (slowing maintenance, Sep 2, 2025). Validate activity before betting a new project on ReNeLLM. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## 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 ReNeLLM and AutoGPT? ReNeLLM: The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily".. 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 ReNeLLM over AutoGPT? Choose ReNeLLM over AutoGPT when License: ReNeLLM is MIT, AutoGPT is Other; Tags unique to ReNeLLM: python; Also covers Vector Databases, Speech & Audio. ### When should I choose AutoGPT over ReNeLLM? Choose AutoGPT over ReNeLLM when License: AutoGPT is Other, ReNeLLM is MIT; Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence; Also covers AI Agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### When should I avoid ReNeLLM? Last GitHub push was 312 days ago (slowing maintenance, Sep 2, 2025). Validate activity before betting a new project on ReNeLLM. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### 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 ReNeLLM or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 163). Stars measure visibility, not whether either tool fits your constraints. ### Are ReNeLLM and AutoGPT open source? Yes - both are open-source projects on GitHub (ReNeLLM: MIT, AutoGPT: Other). ### Where can I find alternatives to ReNeLLM or AutoGPT? GraphCanon lists graph-backed alternatives at [ReNeLLM alternatives](/tools/njunlp-renellm/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([ReNeLLM markdown twin](/tools/njunlp-renellm/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/njunlp-renellm-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, ReNeLLM or AutoGPT? ReNeLLM: Slowing. 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 ReNeLLM and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ReNeLLM trust report](/tools/njunlp-renellm/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=njunlp-renellm`](/api/graphcanon/graph?tool=njunlp-renellm) - 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/_