--- title: "llama-github vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jetxu-llm-llama-github-vs-significant-gravitas-autogpt" tools: ["jetxu-llm-llama-github", "significant-gravitas-autogpt"] --- # llama-github vs AutoGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick llama-github when license: llama-github is Apache-2.0, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, llama-github is Apache-2.0. [llama-github](https://pypi.org/project/llama-github/) reports 295 GitHub stars, 23 forks, and 10 open issues, last pushed Mar 29, 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 [llama-github's repository](https://github.com/JetXu-LLM/llama-github) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [llama-github](/tools/jetxu-llm-llama-github.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LL | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 295 | 185,464 | | Forks | 23 | 46,111 | | Open issues | 10 | 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, Inference & Serving, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llama-github](/tools/jetxu-llm-llama-github.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 104d | 0d | | Open issues (now) | 10 | 494 | | Owner type | User | Organization | | Security scan | 127 low (127 low) | No lockfile | | Full report | [trust report](/tools/jetxu-llm-llama-github/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 llama-github if… - License: llama-github is Apache-2.0, AutoGPT is Other. - Tags unique to llama-github: ai-agent, ai-code-generator, chatbot, code-generation. - Also covers Inference & Serving. ### Choose AutoGPT if… - License: AutoGPT is Other, llama-github is Apache-2.0. - 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 llama-github - Last GitHub push was 105 days ago (slowing maintenance, Mar 29, 2026). Validate activity before betting a new project on llama-github. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - 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 llama-github and AutoGPT? llama-github: Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LL. 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 llama-github over AutoGPT? Choose llama-github over AutoGPT when License: llama-github is Apache-2.0, AutoGPT is Other; Tags unique to llama-github: ai-agent, ai-code-generator, chatbot, code-generation; Also covers Inference & Serving. ### When should I choose AutoGPT over llama-github? Choose AutoGPT over llama-github when License: AutoGPT is Other, llama-github is Apache-2.0; 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 llama-github? Last GitHub push was 105 days ago (slowing maintenance, Mar 29, 2026). Validate activity before betting a new project on llama-github. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. 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 llama-github or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 295). Stars measure visibility, not whether either tool fits your constraints. ### Are llama-github and AutoGPT open source? Yes - both are open-source projects on GitHub (llama-github: Apache-2.0, AutoGPT: Other). ### Where can I find alternatives to llama-github or AutoGPT? GraphCanon lists graph-backed alternatives at [llama-github alternatives](/tools/jetxu-llm-llama-github/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([llama-github markdown twin](/tools/jetxu-llm-llama-github/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/jetxu-llm-llama-github-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, llama-github or AutoGPT? llama-github: 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 llama-github and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llama-github trust report](/tools/jetxu-llm-llama-github/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jetxu-llm-llama-github`](/api/graphcanon/graph?tool=jetxu-llm-llama-github) - 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/_