Home/Compare/dograh vs langflow

Comparison

dograh vs langflow

Verdict

Pick dograh when license: dograh is BSD-2-Clause, langflow is MIT; pick langflow when license: langflow is MIT, dograh is BSD-2-Clause.

Markdown twin · dograh alternatives · langflow alternatives

GraphCanon updated today

dograh logo

dograh

dograh-hq/dograh

4.8kpushed Jul 11, 2026
vs
langflow logo

langflow

langflow-ai/langflow

152kpushed Jul 11, 2026

Trust & integrity

Signaldograhlangflow
Maintenance
Very active (0d 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 criticals
As of today · osv@v1

Tagline

dograh
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow builder, MCP native and telephony support.
langflow
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

Stars

dograh
4.8k
langflow
152k

Forks

dograh
1.1k
langflow
9.7k

Open issues

dograh
22
langflow
975

Language

dograh
Python
langflow
Python

Adopt for

dograh
-
langflow
Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach.

Persona

dograh
-
langflow
-

Runtime

dograh
-
langflow
-

License

dograh
BSD-2-Clause
langflow
MIT

Last pushed

dograh
Jul 11, 2026
langflow
Jul 11, 2026

Categories

dograh
AI Agents, Inference & Serving, LLM Frameworks
langflow
AI Agents, Inference & Serving

Trust and health

Open issues (now)

dograh
22
langflow
975

Security scan

dograh
No lockfile
langflow
No criticals

Full report

langflow
Trust report

Choose dograh if…

  • License: dograh is BSD-2-Clause, langflow is MIT.
  • Tags unique to dograh: ai-calling, asterisk-ari, conversational-ai, inbound-calls.
  • Also covers LLM Frameworks.

When NOT to use dograh

  • 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 langflow if…

  • License: langflow is MIT, dograh is BSD-2-Clause.
  • Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models.
  • - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge.

When NOT to use langflow

  • - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow.
  • - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot旖

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: dograh 4.8k · langflow 152k (synced Jul 11, 2026).

Common questions

What is the difference between dograh and langflow?
dograh: Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow builder, MCP native and telephony support.. langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. See the comparison table for live GitHub stats and shared categories.
When should I choose dograh over langflow?
Choose dograh over langflow when License: dograh is BSD-2-Clause, langflow is MIT; Tags unique to dograh: ai-calling, asterisk-ari, conversational-ai, inbound-calls; Also covers LLM Frameworks.
When should I choose langflow over dograh?
Choose langflow over dograh when License: langflow is MIT, dograh is BSD-2-Clause; Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models; - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge.
When should I avoid dograh?
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 langflow?
- For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow. - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot旖
Is dograh or langflow more popular on GitHub?
langflow has more GitHub stars (151,697 vs 4,829). Stars measure visibility, not whether either tool fits your constraints.
Are dograh and langflow open source?
Yes - both are open-source projects on GitHub (dograh: BSD-2-Clause, langflow: MIT).
Where can I find alternatives to dograh or langflow?
GraphCanon lists graph-backed alternatives at dograh alternatives and langflow alternatives (dograh markdown twin, langflow 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, dograh or langflow?
dograh: Very active. langflow: 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 dograh and langflow?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dograh trust report; langflow trust report.