Kepler - Run Multiple Agents in Parallel Branches

Spawn agents from issues, ship more code in parallel.

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Updated Jul 2026 · Added Jul 2026

gitkraken.com

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What is Kepler?

Kepler is GitKraken's agentic development environment (ADE) that enables developers to spawn AI agents from issues, run them across parallel worktrees, and review every change before merging. It integrates with existing issue trackers and pull request systems, allowing teams to transition from "here is what needs doing" to "agents are on it" in a single step. Designed for development teams and AI engineers who want to orchestrate multiple agents across repositories without being locked into a single model or ecosystem.

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Key Features of Kepler

Launch agents from issues and pull requests
Parallel agent execution across multiple worktrees
Kanban board view for tracking all agent work
Multi-repo task management with shared context
Pull request review and feedback handling
Agent work tracking from exploration to done
Integration with existing issue trackers and git workflows
Support for different AI models and ecosystems

Who Should Use Kepler?

Launch agents to implement database migrations across repos

Automate pull request review feedback and fixes

Manage multi-repo API changes with agents

Track parallel development work in a single view

Orchestrate front-end updates alongside backend changes

Handle follow-on changes from PR reviews automatically

Kepler: Pros & Cons

✓Pros

Works with existing AI CLI workflows without vendor lock-in
Unified view of all agent work across multiple repositories
Seamless integration with existing issue trackers and PR systems
Parallel agent execution reduces development time
Clear Kanban visualization prevents work from getting stuck
Minimizes context-rebuilding and manual session setup

Frequently Asked Questions about Kepler

What is Kepler?

Kepler is GitKraken's agentic development environment (ADE) that lets you spawn AI agents from issues, run them across parallel worktrees, and review every change before it merges.

Can I use Kepler with different AI models?

Yes, Kepler works with existing AI CLI workflows and does not lock you into a single model or ecosystem, allowing you to use different AI systems.

What platforms does Kepler support?

Kepler is available on Windows, Mac, and Linux.

How does Kepler track agent work?

Kepler uses a Kanban board view with columns for Exploration, In Development, In Review, and Done, showing all agent sessions in one place.

Can agents work across multiple repositories?

Yes, a single task can span multiple repositories, with agents keeping them connected through shared context.