Home/Compare/koog vs moby

Comparison

koog vs moby

Verdict

Pick koog when koog is primarily Kotlin; moby is Go; pick moby when moby is primarily Go; koog is Kotlin.

Markdown twin · koog alternatives · moby alternatives

GraphCanon updated today

koog logo

koog

JetBrains/koog

4.4kpushed Jul 6, 2026
vs
moby logo

moby

moby/moby

72kpushed Jul 10, 2026

Trust & integrity

Signalkoogmoby
Maintenance
Active (9d since push)
As of today · github_public_v1
Very active (1d 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
moby
The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems

Stars

koog
4.4k
moby
72k

Forks

koog
447
moby
19k

Open issues

koog
162
moby
3.8k

Language

koog
Kotlin
moby
Go

Adopt for

koog
-
moby
-

Persona

koog
-
moby
-

Runtime

koog
-
moby
-

License

koog
Apache-2.0
moby
Apache-2.0

Last pushed

koog
Jul 6, 2026
moby
Jul 10, 2026

Categories

koog
AI Agents, Inference & Serving, LLM Frameworks
moby
Developer Tools, Inference & Serving, LLM Frameworks

Trust and health

Maintenance

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

Days since push

koog
9d
moby
1d

Open issues (now)

koog
162
moby
3.8k

OSV dependency advisories

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

Full report

Choose koog if…

  • koog is primarily Kotlin; moby is Go.
  • Tags unique to koog: agentframework, agentic-ai, agents, ai.
  • Also covers AI Agents.

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 moby if…

  • moby is primarily Go; koog is Kotlin.
  • Tags unique to moby: containers, docker, go, golang.
  • Also covers Developer Tools.
  • moby ships Docker support for self-hosted deployment.

When NOT to use moby

  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • 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.

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 · moby 72k (synced Jul 15, 2026).

Common questions

What is the difference between koog and moby?
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. moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. See the comparison table for live GitHub stats and shared categories.
When should I choose koog over moby?
Choose koog over moby when koog is primarily Kotlin; moby is Go; Tags unique to koog: agentframework, agentic-ai, agents, ai; Also covers AI Agents.
When should I choose moby over koog?
Choose moby over koog when moby is primarily Go; koog is Kotlin; Tags unique to moby: containers, docker, go, golang; Also covers Developer Tools; moby ships Docker support for self-hosted deployment.
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 moby?
Developer Tools: A gateway is overkill when you're pinned to a single provider and model. 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.
Is koog or moby more popular on GitHub?
moby has more GitHub stars (71,899 vs 4,447). Stars measure visibility, not whether either tool fits your constraints.
Are koog and moby open source?
Yes - both are open-source projects on GitHub (koog: Apache-2.0, moby: Apache-2.0).
Where can I find alternatives to koog or moby?
GraphCanon lists graph-backed alternatives at koog alternatives and moby alternatives (koog markdown twin, moby 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 moby?
koog: Active. moby: 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 moby?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: koog trust report; moby trust report.

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