--- title: "auto-evaluator vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/rlancemartin-auto-evaluator-vs-significant-gravitas-autogpt" tools: ["rlancemartin-auto-evaluator", "significant-gravitas-autogpt"] --- # auto-evaluator vs AutoGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick auto-evaluator when tags unique to auto-evaluator: python; pick AutoGPT when tags unique to AutoGPT: agents, llm, ai, artificial-intelligence. [auto-evaluator](https://autoevaluator.langchain.com/) reports 1.1k GitHub stars, 92 forks, and 3 open issues, last pushed May 10, 2023. [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 [auto-evaluator's repository](https://github.com/rlancemartin/auto-evaluator) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [auto-evaluator](/tools/rlancemartin-auto-evaluator.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | Evaluation tool for LLM QA chains | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 1,102 | 185,464 | | Forks | 92 | 46,111 | | Open issues | 3 | 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 | - | Other | | Categories | LLM Frameworks, Data & Retrieval, Vector Databases | LLM Frameworks, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [auto-evaluator](/tools/rlancemartin-auto-evaluator.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1158d | 0d | | Open issues (now) | 3 | 494 | | Owner type | User | Organization | | Security scan | 118 low (118 low) | No lockfile | | Full report | [trust report](/tools/rlancemartin-auto-evaluator/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 auto-evaluator if… - Tags unique to auto-evaluator: python. - Also covers Data & Retrieval, Vector Databases. - Leaner open-issue backlog (3). ### Choose AutoGPT if… - 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 auto-evaluator - Last GitHub push was 1159 days ago (dormant maintenance, May 10, 2023). Validate activity before betting a new project on auto-evaluator. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - 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 auto-evaluator and AutoGPT? auto-evaluator: Evaluation tool for LLM QA chains. 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 auto-evaluator over AutoGPT? Choose auto-evaluator over AutoGPT when Tags unique to auto-evaluator: python; Also covers Data & Retrieval, Vector Databases; Leaner open-issue backlog (3). ### When should I choose AutoGPT over auto-evaluator? Choose AutoGPT over auto-evaluator when 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 auto-evaluator? Last GitHub push was 1159 days ago (dormant maintenance, May 10, 2023). Validate activity before betting a new project on auto-evaluator. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. 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 auto-evaluator or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 1,102). Stars measure visibility, not whether either tool fits your constraints. ### Are auto-evaluator and AutoGPT open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to auto-evaluator or AutoGPT? GraphCanon lists graph-backed alternatives at [auto-evaluator alternatives](/tools/rlancemartin-auto-evaluator/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([auto-evaluator markdown twin](/tools/rlancemartin-auto-evaluator/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/rlancemartin-auto-evaluator-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, auto-evaluator or AutoGPT? auto-evaluator: Dormant. 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 auto-evaluator and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [auto-evaluator trust report](/tools/rlancemartin-auto-evaluator/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=rlancemartin-auto-evaluator`](/api/graphcanon/graph?tool=rlancemartin-auto-evaluator) - 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/_