// agents · JetBrains/koog

koog

Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend service…

★ 4.6k stars⑂ 483 forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

koog is an open-source ai agents project by JetBrains (JetBrains/koog on GitHub). It has 4,600 GitHub stars and 483 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 2 October 2026.

Repository
JetBrains/koog
GitHub stars
4,600
Forks
483
License
Apache-2.0
Last updated on GitHub
2 October 2026
Category
AI Agents
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Define the job

    Research, coding, browsing, or ops — agents work best with a clear goal.

  2. Pick a framework

    From no-code builders to code-first SDKs, match complexity to the task.

  3. Give it tools

    Web search, code execution, and APIs are what make agents useful.

  4. Run and supervise

    Watch the trace, approve consequential actions, iterate.

// features

Why people love it

Observability

Traces show exactly what the agent did and why.

Human in the loop

Approval gates for actions that matter.

Memory

Long-term memory across sessions, not goldfish chat.

Multi-agent teams

Specialized agents collaborate on bigger jobs.

Tool use

Agents call real tools: browsers, terminals, APIs.

Evaluations

Benchmarks keep agent quality measurable.

Advertisement
// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/JetBrains/koog.git
    cd koog
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

Advertisement
// faq

Questions, answered

Who maintains koog?

It is an open-source project at JetBrains/koog with 483 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is koog free for commercial use?

Apache 2.0 licensed — commercial use allowed with attribution.

How do I keep them safe?

Sandboxing, approval gates, and least-privilege credentials.

Do I need to code?

Builders exist, but code-first frameworks go further.

What does it cost to run?

Model API bills dominate; self-hosted stacks cut that sharply.

// keep exploring

Similar tools

AI Agents

AppFlowy

Bring projects, wikis, and teams together with AI. AppFlowy is the AI collaborative workspace where you achieve more without losing control of your data. The…

★ 77.1k starsAGPL-3.0
View guide →
AI Agents

multica

Make humans and AI agents work as one team — open-source and self-hostable.

★ 51.9k starsUnknown
View guide →
AI Agents

superpowers

An agentic skills framework & software development methodology that works.

★ 294.9k starsMIT
View guide →
AI Agents

ADR

Uber's ADR: discover, observe, benchmark, and detect threats across enterprise AI agents, deployed at Uber.

★ 1.9k starsApache-2.0
View guide →
AI Agents

Haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and…

★ 26.6k starsApache-2.0
View guide →
AI Agents

coze-studio

A visual all-in-one platform for building, debugging, and deploying AI agents.

★ 21.7k starsApache-2.0
View guide →
// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if koog is not the right fit.

Get koog

Free and open — grab the source, star the repo, and start creating.