--- title: "llm_agents vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mpaepper-llm-agents-vs-significant-gravitas-autogpt" tools: ["mpaepper-llm-agents", "significant-gravitas-autogpt"] --- # llm_agents vs AutoGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick llm_agents when license: llm_agents is MIT, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, llm_agents is MIT. [llm_agents](https://www.paepper.com/blog/posts/intelligent-agents-guided-by-llms/) reports 1.1k GitHub stars, 85 forks, and 3 open issues, last pushed Jun 23, 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 [llm_agents's repository](https://github.com/mpaepper/llm_agents) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [llm_agents](/tools/mpaepper-llm-agents.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | Build agents which are controlled by LLMs | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 1,050 | 185,464 | | Forks | 85 | 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 | MIT | Other | | Categories | LLM Frameworks, AI Agents | LLM Frameworks, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llm_agents](/tools/mpaepper-llm-agents.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 382d | 0d | | Open issues (now) | 3 | 494 | | Owner type | User | Organization | | Security scan | 32 low (32 low) | No lockfile | | Full report | [trust report](/tools/mpaepper-llm-agents/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 llm_agents if… - License: llm_agents is MIT, AutoGPT is Other. - Tags unique to llm_agents: llms, deep-learning, machine-learning, python. - Leaner open-issue backlog (3). ### Choose AutoGPT if… - License: AutoGPT is Other, llm_agents is MIT. - Tags unique to AutoGPT: agents, llm, 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 llm_agents - Last GitHub push was 383 days ago (dormant maintenance, Jun 23, 2025). Validate activity before betting a new project on llm_agents. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ## 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 llm_agents and AutoGPT? llm_agents: Build agents which are controlled by LLMs. 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 llm_agents over AutoGPT? Choose llm_agents over AutoGPT when License: llm_agents is MIT, AutoGPT is Other; Tags unique to llm_agents: llms, deep-learning, machine-learning, python; Leaner open-issue backlog (3). ### When should I choose AutoGPT over llm_agents? Choose AutoGPT over llm_agents when License: AutoGPT is Other, llm_agents is MIT; Tags unique to AutoGPT: agents, llm, 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 llm_agents? Last GitHub push was 383 days ago (dormant maintenance, Jun 23, 2025). Validate activity before betting a new project on llm_agents. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ### 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 llm_agents or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 1,050). Stars measure visibility, not whether either tool fits your constraints. ### Are llm_agents and AutoGPT open source? Yes - both are open-source projects on GitHub (llm_agents: MIT, AutoGPT: Other). ### Where can I find alternatives to llm_agents or AutoGPT? GraphCanon lists graph-backed alternatives at [llm_agents alternatives](/tools/mpaepper-llm-agents/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([llm_agents markdown twin](/tools/mpaepper-llm-agents/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/mpaepper-llm-agents-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, llm_agents or AutoGPT? llm_agents: 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 llm_agents and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llm_agents trust report](/tools/mpaepper-llm-agents/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mpaepper-llm-agents`](/api/graphcanon/graph?tool=mpaepper-llm-agents) - 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/_