Acyclic Labs

Distribute coding tasks across parallel agents in isolated sandboxes to produce unified pull requests

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Acyclic Labs to split complex coding tasks across multiple AI agents running in parallel sandboxes. Instead of waiting on a single agent, the command-line interface fans out work across separate branches, monitors progress in real time, and merges completed changes into a single patch or pull request. You can inspect live branches, test different fixes simultaneously, and apply verified code directly to your local project. It also connects with external agents through the Model Context Protocol to coordinate development tasks on massive codebases.

What Acyclic Labs does

Execute agent swarms from the terminalApply merged code patches to local repositoriesStream live terminal progress across parallel sandboxesConnect custom coding agents using Model Context ProtocolGenerate pull requests directly from the web dashboardFork promising agent exploration branchesRuns coding tasks in parallel across multiple agent sandboxesMerges completed agent output into a single patch or pull requestOffers a command-line interface for local workflow integrationConnects to external coding agents via Model Context ProtocolStreams live agent execution status directly to the terminalIsolates agent execution to prevent code conflicts

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

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