Home/Compare/LangGPT vs AutoGPT

Comparison

LangGPT vs AutoGPT

Verdict

Pick LangGPT when langGPT is primarily Jupyter Notebook; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; LangGPT is Jupyter Notebook.

Markdown twin · LangGPT alternatives · AutoGPT alternatives

GraphCanon updated today

LangGPT logo

LangGPT

langgptai/LangGPT

12kpushed Jun 29, 2026
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026

Trust & integrity

SignalLangGPTAutoGPT
Maintenance
Active (11d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

LangGPT
LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词(Structured Prompt)提出者 📌 元提示词(Meta-Prompt)发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-promp
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

LangGPT
12k
AutoGPT
185k

Forks

LangGPT
935
AutoGPT
46k

Open issues

LangGPT
0
AutoGPT
494

Language

LangGPT
Jupyter Notebook
AutoGPT
Python

Adopt for

LangGPT
-
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

LangGPT
-
AutoGPT
-

Runtime

LangGPT
-
AutoGPT
-

License

LangGPT
Apache-2.0
AutoGPT
Other

Last pushed

LangGPT
Jun 29, 2026
AutoGPT
Jul 11, 2026

Categories

LangGPT
LLM Frameworks
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Maintenance

LangGPT
Active (82%)
AutoGPT
Very active (96%)

Days since push

LangGPT
11d
AutoGPT
0d

Open issues (now)

LangGPT
0
AutoGPT
494

Full report

Choose LangGPT if…

  • LangGPT is primarily Jupyter Notebook; AutoGPT is Python.
  • License: LangGPT is Apache-2.0, AutoGPT is Other.
  • Tags unique to LangGPT: doubao, gemini, gpt-4, chatgpt.

When NOT to use LangGPT

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose AutoGPT if…

  • AutoGPT is primarily Python; LangGPT is Jupyter Notebook.
  • License: AutoGPT is Other, LangGPT is Apache-2.0.
  • 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 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 on cards: LangGPT 12k · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between LangGPT and AutoGPT?
LangGPT: LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词(Structured Prompt)提出者 📌 元提示词(Meta-Prompt)发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-promp. 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 LangGPT over AutoGPT?
Choose LangGPT over AutoGPT when LangGPT is primarily Jupyter Notebook; AutoGPT is Python; License: LangGPT is Apache-2.0, AutoGPT is Other; Tags unique to LangGPT: doubao, gemini, gpt-4, chatgpt.
When should I choose AutoGPT over LangGPT?
Choose AutoGPT over LangGPT when AutoGPT is primarily Python; LangGPT is Jupyter Notebook; License: AutoGPT is Other, LangGPT is Apache-2.0; 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 LangGPT?
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 LangGPT or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 12,330). Stars measure visibility, not whether either tool fits your constraints.
Are LangGPT and AutoGPT open source?
Yes - both are open-source projects on GitHub (LangGPT: Apache-2.0, AutoGPT: Other).
Where can I find alternatives to LangGPT or AutoGPT?
GraphCanon lists graph-backed alternatives at LangGPT alternatives and AutoGPT alternatives (LangGPT 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, LangGPT or AutoGPT?
LangGPT: Active. 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 LangGPT and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LangGPT trust report; AutoGPT trust report.