Home/Compare/langflow vs AutoGPT

Comparison

langflow vs AutoGPT

Verdict

Pick langflow if langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems; pick AutoGPT if 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.

Markdown twin · langflow alternatives · AutoGPT alternatives

GraphCanon updated 5d

langflow logo

langflow

langflow-ai/langflow

153kpushed Aug 2, 2026
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

187kpushed Aug 15, 2026

Trust & integrity

SignallangflowAutoGPT
Maintenance
Very active (0d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 5d · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 5d · github_public_v1
OSV dependency advisories
No published findings from this source as of 2026-07-11
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

langflow
Tool for building and deploying AI-powered agents and workflows
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

langflow
153k
AutoGPT
187k

Forks

langflow
9.7k
AutoGPT
46k

Open issues

langflow
972
AutoGPT
517

Language

langflow
Python
AutoGPT
Python

Adopt for

langflow
Langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems.
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

langflow
-
AutoGPT
-

Runtime

langflow
-
AutoGPT
-

License

langflow
MIT
AutoGPT
Other

Last pushed

langflow
Aug 2, 2026
AutoGPT
Aug 15, 2026

Categories

langflow
AI Agents, Model Training
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Open issues (now)

langflow
972
AutoGPT
517

Stars delta

langflow
Unknown
AutoGPT
+1.0k (30d)

Open issues delta

langflow
Unknown
AutoGPT
+19 (30d)

OSV dependency advisories

langflow
No published findings from this source as of 2026-07-11
AutoGPT
No lockfile (source not queried)

Full report

langflow
Trust report

Typed relationship

langflow related AutoGPT

Choose langflow if…

  • License: langflow is MIT, AutoGPT is Other.
  • Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk..
  • Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings..
  • Graph edge: langflow is a typed related of AutoGPT - see the relationship row above.
  • Tags unique to langflow: chatgpt, generative-ai, large language models, multiagent.
  • Also covers Model Training.
  • Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool.

When NOT to use langflow

  • Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14.
  • Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality.

Choose AutoGPT if…

  • License: AutoGPT is Other, langflow is MIT.
  • Graph edge: AutoGPT is a typed related of langflow - see the relationship row above.
  • Tags unique to AutoGPT: agentic-ai, ai, artificial-intelligence, autonomous-agents.
  • Also covers LLM Frameworks.
  • 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: langflow 153k · AutoGPT 187k (synced Aug 2, 2026).

Common questions

What is the difference between langflow and AutoGPT?
langflow: Tool for building and deploying AI-powered agents and workflows. 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 langflow over AutoGPT?
Choose langflow over AutoGPT when License: langflow is MIT, AutoGPT is Other; Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk.; Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings.; Graph edge: langflow is a typed related of AutoGPT - see the relationship row above; Tags unique to langflow: chatgpt, generative-ai, large language models, multiagent; Also covers Model Training; Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool.
When should I choose AutoGPT over langflow?
Choose AutoGPT over langflow when License: AutoGPT is Other, langflow is MIT; Graph edge: AutoGPT is a typed related of langflow - see the relationship row above; Tags unique to AutoGPT: agentic-ai, ai, artificial-intelligence, autonomous-agents; Also covers LLM Frameworks; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When should I avoid langflow?
Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14. Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality.
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 langflow or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (186,623 vs 152,744). Stars measure visibility, not whether either tool fits your constraints.
Are langflow and AutoGPT open source?
Yes - both are open-source projects on GitHub (langflow: MIT, AutoGPT: Other).
Where can I find alternatives to langflow or AutoGPT?
GraphCanon lists graph-backed alternatives at langflow alternatives and AutoGPT alternatives (langflow 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, langflow or AutoGPT?
langflow: Very 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 langflow and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langflow trust report; AutoGPT trust report.

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