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title: Orca vs. Kilo Agent Manager | daily.dev
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Orca vs. Kilo Agent Manager

**[Kilo Blog](https://daily.dev/sources/kilo-ai-blog)** · 4 min read · 0 upvotes · 0 comments

## Summary

Kilo's Agent Manager and Orca are two tools for running parallel AI coding agents using git worktrees. Orca is a standalone desktop app that works with multiple agent tools (Claude Code, Codex, Cursor, Devin, Kilo), making it useful if you pay for multiple agent subscriptions. Kilo's Agent Manager is a VS Code-native panel that supports multiple AI models within a single environment, with stronger review tooling including live diffs, conflict resolution, a multi-version mode for comparing outputs across models, and CI-integrated PR workflows. The choice comes down to agent agnosticism vs. a deeper integrated workflow inside VS Code.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.kilo.ai/p/orca-vs-kilo-agent-manager>

## Questions this post answers

### What is the difference between Orca and Kilo's Agent Manager for running AI coding agents in parallel?

Orca is a standalone desktop app with its own editor and terminal that works across multiple CLI agents like Claude Code, Codex, Cursor, and Devin, using SSH worktrees for remote machines and multi-repo project groups. Kilo's Agent Manager is a panel inside the Kilo VS Code extension supporting only Kilo agents but across any AI model, with multi-version mode running the same prompt across up to four worktrees and a built-in review pipeline with apply-to-local, merge, and PR options.

_daily.dev helps developers weighing agent orchestration tools compare real tradeoffs before committing to a workflow._

### Does Kilo's Agent Manager support running the same prompt across multiple AI models at once?

Yes, Kilo's multi-version mode runs the same prompt across up to four worktrees, optionally using different AI models in each, so outputs can be compared directly instead of guessing which model performs better on a given task. This works alongside sections for organizing worktrees into color-coded folders and setup scripts that auto-install dependencies per worktree.

_teams comparing model outputs side by side follow tooling updates like this through daily.dev._

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- [We're back on Product Hunt — here's how far Kilo has come](https://daily.dev/posts/we-re-back-on-product-hunt-here-s-how-far-kilo-has-come-jalcqyaqw) · Kilo Blog · 1 upvotes · 0 comments
- [I tried VS Code's answer to Claude Code, Codex, and Google Antigravity and it blew my mind](https://daily.dev/posts/i-tried-vs-code-s-answer-to-claude-code-codex-and-google-antigravity-and-it-blew-my-mind-loiqcu7vg) · XDA Developers · 6 upvotes · 0 comments

---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#git](https://daily.dev/tags/git), [#vscode](https://daily.dev/tags/vscode)

[View this post on daily.dev](https://daily.dev/posts/orca-vs-kilo-agent-manager-9ufjemos9)

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