Home/Compare/koog vs langflow

Comparison

koog vs langflow

Verdict

Pick koog when koog is primarily Kotlin; langflow is Python; pick langflow when langflow is primarily Python; koog is Kotlin.

Markdown twin · koog alternatives · langflow alternatives

GraphCanon updated today

koog logo

koog

JetBrains/koog

4.4kpushed Jul 6, 2026
vs
langflow logo

langflow

langflow-ai/langflow

152kpushed Jul 11, 2026

Trust & integrity

Signalkooglangflow
Maintenance
Active (9d since push)
As of today · github_public_v1
Very active (0d since push)
As of 3d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 3d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
No published findings from this source as of 2026-07-11
As of 3d · 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

koog
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-brow
langflow
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

Stars

koog
4.4k
langflow
152k

Forks

koog
447
langflow
9.7k

Open issues

koog
162
langflow
975

Language

koog
Kotlin
langflow
Python

Adopt for

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

Persona

koog
-
langflow
-

Runtime

koog
-
langflow
-

License

koog
Apache-2.0
langflow
MIT

Last pushed

koog
Jul 6, 2026
langflow
Jul 11, 2026

Categories

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

Trust and health

Maintenance

koog
Active (82%)
langflow
Very active (96%)

Days since push

koog
9d
langflow
0d

Open issues (now)

koog
162
langflow
975

OSV dependency advisories

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

Full report

langflow
Trust report

Choose koog if…

  • koog is primarily Kotlin; langflow is Python.
  • License: koog is Apache-2.0, langflow is MIT.
  • Tags unique to koog: agentframework, agentic-ai, ai, ai-agents-framework.
  • Also covers LLM Frameworks.

When NOT to use koog

  • 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…

  • langflow is primarily Python; koog is Kotlin.
  • License: langflow is MIT, koog is Apache-2.0.
  • Tags unique to langflow: chatgpt, generative-ai, large-language-models, multiagent.
  • - 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

Explore

Sources

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

GitHub stars on cards: koog 4.4k · langflow 152k (synced Jul 15, 2026).

Common questions

What is the difference between koog and langflow?
koog: Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-brow. 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 koog over langflow?
Choose koog over langflow when koog is primarily Kotlin; langflow is Python; License: koog is Apache-2.0, langflow is MIT; Tags unique to koog: agentframework, agentic-ai, ai, ai-agents-framework; Also covers LLM Frameworks.
When should I choose langflow over koog?
Choose langflow over koog when langflow is primarily Python; koog is Kotlin; License: langflow is MIT, koog is Apache-2.0; Tags unique to langflow: chatgpt, generative-ai, large-language-models, multiagent; - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge.
When should I avoid koog?
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
Is koog or langflow more popular on GitHub?
langflow has more GitHub stars (151,697 vs 4,447). Stars measure visibility, not whether either tool fits your constraints.
Are koog and langflow open source?
Yes - both are open-source projects on GitHub (koog: Apache-2.0, langflow: MIT).
Where can I find alternatives to koog or langflow?
GraphCanon lists graph-backed alternatives at koog alternatives and langflow alternatives (koog 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, koog or langflow?
koog: 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 koog and langflow?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: koog trust report; langflow trust report.

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