Loading page...Загружаем страницу...正在加载页面...
AtlasRepo

Orca: Run a Fleet of AI Coding Agents in Parallel and Keep the Best Result (99K Stars)

Description and use

<h2> What Orca Is </h2> <p>Orca is a free, open source desktop app that orchestrates AI coding agents. Instead of betting everything on one agent and one attempt, you give Orca a prompt and it fans that prompt out across several agents at once: Claude Code, Codex, OpenCode, Grok, Cursor, Copilot, Pi and more. Each agent works in its own isolated git worktree, so five agents can attack the same task at the same time without overwriting each other's files.</p> <p>When they finish, you compare the results side by side and merge the winner. The rest get discarded. Think of it as running a small co

Problem

<h2> What Orca Is </h2> <p>Orca is a free, open source desktop app that orchestrates AI coding agents. Instead of betting everything on one agent and one attempt, you give Orca a prompt and it fans that prompt out across several agents at once: Claude Code, Codex, OpenCode, Grok, Cursor, Copilot, Pi and more. Each agent works in its own isolated git worktree, so five agents can attack the same task at the same time without overwriting each other's files.</p> <p>When they finish, you compare the results side by side and merge the winner. The rest get discarded. Think of it as running a small co

Outcome

<h2> What Orca Is </h2> <p>Orca is a free, open source desktop app that orchestrates AI coding agents. Instead of betting everything on one agent and one attempt, you give Orca a prompt and it fans that prompt out across several agents at once: Claude Code, Codex, OpenCode, Grok, Cursor, Copilot, Pi and more. Each agent works in its own isolated git worktree, so five agents can attack the same task at the same time without overwriting each other's files.</p> <p>When they finish, you compare the results side by side and merge the winner. The rest get discarded. Think of it as running a small co

Evidence

Orca: Run a Fleet of AI Coding Agents in Parallel and Keep the Best Result (99K Stars)

Source

  • Record date: 2026-10-20T11:41:09.051Z