amoeba Download
‹ All posts
Guide4 min read

Parallel subagents that report back as one result

How one agent splits a task into subagents, runs them side by side, and returns a single diff for review.

KKenneth·

Large tasks are faster when split. An Amoeba agent can fan a task out into parallel subagents, each working in its own worktree so nobody else’s lane is touched.

Subagents report back to the parent, which merges their work and posts one diff and one summary to the session.

From the team’s point of view it is still one task with one owner, which keeps Mission Control readable.

Try it with your team. Free in early access. Download Amoeba →

Related posts

How to stop AI coding agents from editing the same file

Why parallel agents collide on shared code, and how line-level collision prevention names the teammate and function before tokens burn.

KKenneth

Claude, Codex, OpenCode or ACP: running any agent harness in one IDE

A guide to bringing your own subscription or API key, connecting ACP harnesses like OmniCode and Hermes, and handing tasks between them.

KKenneth

Multiplayer coding with AI agents: one shared session for the team

What a shared agent session is, how live cursors and approvals work, and why it beats everyone running Claude or Codex alone.

KKeyu