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Comparison

langflow vs autoflow

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 autoflow if pingcap/autoflow leverages Graph RAG technology and TiDB Serverless Vector Storage, making it a specialized choice for building conversational knowledge bases in TypeScript.

Markdown twin · langflow alternatives · autoflow alternatives

GraphCanon updated Sep 20, 2026

19views this month

langflow logo

langflow

langflow-ai/langflow

★ 155kpushed Sep 18, 2026
vs
autoflow logo

autoflow

pingcap/autoflow

★ 3.0kpushed Apr 27, 2026

Trust & integrity

Signallangflowautoflow
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Slowing (145d since push)
As of Sep 20, 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 20, 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 Jul 11, 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
langflow trust reportautoflow trust reportTrust methodology

Tagline

langflow
A tool for building and deploying AI-powered agents and workflows
autoflow
Graph RAG based conversational knowledge base tool using TiDB Serverless Vector Storage

Stars

langflow
155k
autoflow
3.0k

Forks

langflow
10k
autoflow
193

Open issues

langflow
1.1k
autoflow
74

Language

langflow
Python
autoflow
TypeScript

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.
autoflow
pingcap/autoflow leverages Graph RAG technology and TiDB Serverless Vector Storage, making it a specialized choice for building conversational knowledge bases in TypeScript.

Persona

langflow
-
autoflow
-

Runtime

langflow
-
autoflow
-

License

langflow
MIT
autoflow
Apache-2.0

Last pushed

langflow
Sep 18, 2026
autoflow
Apr 27, 2026

Categories

langflow
AI Agents, Developer Tools
autoflow
Data & Retrieval, Vector Databases

Trust and health

Maintenance

langflow
Very active (96%)
autoflow
Slowing (36%)

Days since push

langflow
0d
autoflow
145d

Open issues (now)

langflow
1.1k
autoflow
74

Stars delta

langflow
+2.2k (30d)
autoflow
+18 (30d)

Open issues delta

langflow
+114 (30d)
autoflow
-1 (30d)

OSV dependency advisories

langflow
No published findings from this source as of 2026-09-18
autoflow
No lockfile (source not queried)

Full report

langflow
Trust report
autoflow
Trust report

Typed relationship

langflow integrates autoflowAutoflow, a graph-based RAG conversational tool that leverages TiDB Serverless Vector Storage and integrates LlamaIndex for model training, can be integrated with Langflow. Langflow provides a platform to build and deploy AI workflows through both visual authoring and API server capabilities, making it possible to incorporate Autoflow's conversational functionalities within broader enterprise AI应用

Choose langflow if…

  • langflow is primarily Python; autoflow is TypeScript.
  • License: langflow is MIT, autoflow is Apache-2.0.
  • Autoflow, a graph-based RAG conversational tool that leverages TiDB Serverless Vector Storage and integrates LlamaIndex for model training, can be integrated with Langflow. Langflow provides a platform to build and deploy AI workflows through both visual authoring and API server capabilities, making it possible to incorporate Autoflow's conversational functionalities within broader enterprise AI应用
  • Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models.
  • Also covers AI Agents, Developer Tools.
  • 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.
GitHubDetails

Choose autoflow if…

  • autoflow is primarily TypeScript; langflow is Python.
  • License: autoflow is Apache-2.0, langflow is MIT.
  • Autoflow, a graph-based RAG conversational tool that leverages TiDB Serverless Vector Storage and integrates LlamaIndex for model training, can be integrated with Langflow. Langflow provides a platform to build and deploy AI workflows through both visual authoring and API server capabilities, making it possible to incorporate Autoflow's conversational functionalities within broader enterprise AI应用
  • Tags unique to autoflow: chatbot, cot, graphrag, knowledge-graph.
  • Also covers Data & Retrieval, Vector Databases.
  • autoflow ships Docker support for self-hosted deployment.
  • - When you need to create a conversational interface that can leverage both graph-based data structures and retrieval-augmented generation techniques for context-aware responses.

When NOT to use autoflow

  • - When your application does not require a conversational knowledge base or cannot benefit from retrieval-augmented generation (RAG) techniques.
  • - If you are aiming for broad compatibility across different SQL-based databases, as autoflow specifically integrates with TiDB and might offer less flexibility when compared to tools that support a
GitHubDetails

Explore

langflow trust report →autoflow trust report →AI Agents category →Developer Tools category →Data & Retrieval category →Vector Databases category →All comparisonsStack workflowsTrending tools

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 · autoflow 3.0k (synced Sep 20, 2026).

Common questions

What is the difference between langflow and autoflow?
langflow: A tool for building and deploying AI-powered agents and workflows. autoflow: Graph RAG based conversational knowledge base tool using TiDB Serverless Vector Storage. See the comparison table for live GitHub stats and shared categories.
When should I choose langflow over autoflow?
Choose langflow over autoflow when langflow is primarily Python; autoflow is TypeScript; License: langflow is MIT, autoflow is Apache-2.0; Autoflow, a graph-based RAG conversational tool that leverages TiDB Serverless Vector Storage and integrates LlamaIndex for model training, can be integrated with Langflow. Langflow provides a platform to build and deploy AI workflows through both visual authoring and API server capabilities, making it possible to incorporate Autoflow's conversational functionalities within broader enterprise AI应用; Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models; Also covers AI Agents, Developer Tools; 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 autoflow over langflow?
Choose autoflow over langflow when autoflow is primarily TypeScript; langflow is Python; License: autoflow is Apache-2.0, langflow is MIT; Autoflow, a graph-based RAG conversational tool that leverages TiDB Serverless Vector Storage and integrates LlamaIndex for model training, can be integrated with Langflow. Langflow provides a platform to build and deploy AI workflows through both visual authoring and API server capabilities, making it possible to incorporate Autoflow's conversational functionalities within broader enterprise AI应用; Tags unique to autoflow: chatbot, cot, graphrag, knowledge-graph; Also covers Data & Retrieval, Vector Databases; autoflow ships Docker support for self-hosted deployment; - When you need to create a conversational interface that can leverage both graph-based data structures and retrieval-augmented generation techniques for context-aware responses.
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 autoflow?
- When your application does not require a conversational knowledge base or cannot benefit from retrieval-augmented generation (RAG) techniques. - If you are aiming for broad compatibility across different SQL-based databases, as autoflow specifically integrates with TiDB and might offer less flexibility when compared to tools that support a
Is langflow or autoflow more popular on GitHub?
langflow has more GitHub stars (154,963 vs 2,974). Stars measure visibility, not whether either tool fits your constraints.
Are langflow and autoflow open source?
Yes - both are open-source projects on GitHub (langflow: MIT, autoflow: Apache-2.0).
Where can I find alternatives to langflow or autoflow?
GraphCanon lists graph-backed alternatives at langflow alternatives and autoflow alternatives (langflow markdown twin, autoflow 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 autoflow?
langflow: Very active. autoflow: Slowing. 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 autoflow?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langflow trust report; autoflow trust report.

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