Home/Compare/langflow vs AutoGPT

Comparison

langflow vs AutoGPT

Verdict

Pick langflow if langflow is a Python-based tool for building and deploying AI-powered agents and workflows, supporting multiagent systems and integration with large language models; pick AutoGPT if autoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.

Markdown twin · langflow alternatives · AutoGPT alternatives

GraphCanon updated Sep 20, 2026

24views this month

langflow logo

langflow

langflow-ai/langflow

★ 155kpushed Sep 18, 2026
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

★ 187kpushed Sep 18, 2026

Trust & integrity

SignallangflowAutoGPT
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No published findings from this source as of 2026-09-18
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · 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
A tool for building and deploying AI-powered agents and workflows
AutoGPT
Accessible AI for everyone, providing tools for focus on what matters

Stars

langflow
155k
AutoGPT
187k

Forks

langflow
10k
AutoGPT
46k

Open issues

langflow
1.1k
AutoGPT
593

Language

langflow
Python
AutoGPT
Python

Adopt for

langflow
Langflow is a Python-based tool for building and deploying AI-powered agents and workflows, supporting multiagent systems and integration with large language models.
AutoGPT
AutoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.

Persona

langflow
-
AutoGPT
-

Runtime

langflow
-
AutoGPT
-

License

langflow
MIT
AutoGPT
AutoGPT's `autogpt_platform/` component is licensed under Polyform Shield, which is free for personal and internal business use but cannot be sold as a competing hosted service. The `classic/` and all

Last pushed

langflow
Sep 18, 2026
AutoGPT
Sep 18, 2026

Categories

langflow
AI Agents, Developer Tools
AutoGPT
AI Agents, Developer Tools

Trust and health

Open issues (now)

langflow
1.1k
AutoGPT
593

Stars delta

langflow
+2.2k (30d)
AutoGPT
+801 (30d)

Open issues delta

langflow
+114 (30d)
AutoGPT
+76 (30d)

OSV dependency advisories

langflow
No published findings from this source as of 2026-09-18
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.
  • 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.
  • When you need to develop AI agents and workflows that can integrate with large language models, as Langflow supports this integration directly.

When NOT to use langflow

  • If your project does not require the use of large language models or multiagent systems, as Langflow's strengths lie in these areas.
  • When you are working in an environment that does not support Python 3.10–3.14, as Langflow requires this specific version range.
  • If you are looking for a tool that does not require the use of the uv package manager, as Langflow recommends uv for installation and running.

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.
  • When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.

When NOT to use AutoGPT

  • If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment.
  • When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you.
  • If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.

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 155k · AutoGPT 187k (synced Sep 20, 2026).

Common questions

What is the difference between langflow and AutoGPT?
langflow: A tool for building and deploying AI-powered agents and workflows. AutoGPT: Accessible AI for everyone, providing tools for focus on what matters. 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; 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; When you need to develop AI agents and workflows that can integrate with large language models, as Langflow supports this integration directly.
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; When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.
When should I avoid langflow?
If your project does not require the use of large language models or multiagent systems, as Langflow's strengths lie in these areas. When you are working in an environment that does not support Python 3.10–3.14, as Langflow requires this specific version range. If you are looking for a tool that does not require the use of the uv package manager, as Langflow recommends uv for installation and running.
When should I avoid AutoGPT?
If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment. When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you. If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
Is langflow or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (187,424 vs 154,963). 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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