Comparison
llama-github vs AutoGPT
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.
Markdown twin · llama-github alternatives · AutoGPT alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | llama-github | AutoGPT |
|---|---|---|
| Maintenance | Slowing (104d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | 127 low (127 low) As of 1d · osv@v1 | No lockfile As of 1d · none |
Tagline
- 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.
Stars
- llama-github
- 295
- AutoGPT
- 185k
Forks
- llama-github
- 23
- AutoGPT
- 46k
Open issues
- llama-github
- 10
- AutoGPT
- 494
Language
- llama-github
- Python
- AutoGPT
- Python
Adopt for
- llama-github
- -
- AutoGPT
- 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
- llama-github
- -
- AutoGPT
- -
Runtime
- llama-github
- -
- AutoGPT
- -
License
- llama-github
- Apache-2.0
- AutoGPT
- Other
Last pushed
- llama-github
- Mar 29, 2026
- AutoGPT
- Jul 11, 2026
Categories
- llama-github
- AI Agents, Inference & Serving, LLM Frameworks
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- llama-github
- Slowing (36%)
- AutoGPT
- Very active (96%)
Days since push
- llama-github
- 104d
- AutoGPT
- 0d
Open issues (now)
- llama-github
- 10
- AutoGPT
- 494
Owner type
- llama-github
- User
- AutoGPT
- Organization
Security scan
- llama-github
- 127 low (127 low)
- AutoGPT
- No lockfile
Full report
- llama-github
- Trust report
- AutoGPT
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (JetXu-LLM/llama-github) · observed Jul 11, 2026
- GitHub forks (JetXu-LLM/llama-github) · observed Jul 11, 2026
- Last push (JetXu-LLM/llama-github) · observed Mar 29, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: llama-github 295 · AutoGPT 185k (synced Jul 11, 2026).
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 and AutoGPT alternatives (llama-github markdown twin, AutoGPT markdown twin), 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 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; AutoGPT trust report.