Multi-Agent Canvas: AI Agent File Lock Canvas for Parallel Coding
The Murmell multi-agent canvas is a visual workspace where multiple AI coding agents run concurrently in a shared project directory. A real-time file locking mechanism (The Board) guarantees that only one agent edits any file path at a time.
Eliminating merge conflicts and file overwrites
Running parallel coding agents on a single repository typically results in overwritten changes and merge disputes. Murmell solves this at the filesystem level. The Board acts as a live reservation authority: each agent claims its active paths before making edits. Other agents dynamically queue or re-route their work to independent modules. Read our detailed explanation of how multiple AI agents share one repo.
Persistent cloud runtime and sandboxes
Every canvas runs on a dedicated cloud sandbox equipped with real Linux tools, Git, and package managers. Agents execute tasks in the cloud independently of your workstation, persisting state across sessions and network drops without consuming local resources.
Coordinating multiple CLI agents simultaneously
Launch Anthropic Claude Code, OpenAI Codex, Kimi, or OpenCode in separate windows on the same screen. Divide complex features across multiple agents to accelerate implementation. Follow our step-by-step guide on how to run several AI agents on one project.
Zero local setup and instant onboarding
No need to install multiple agent CLI tools or configure container runtimes locally. Launch your project on Murmell, connect your API credentials, and start orchestrating parallel tasks directly from your browser.
Multiplayer workspace with live presence
The canvas provides a shared visual workspace for engineering teams. See where team members and AI agents are focused with real-time cursors, shared terminal outputs, and live application previews. Learn how multiplayer coding with AI agents works, or see how to share a coding session with a colleague.
Straight answers
What is an AI agent file lock canvas?
It is a collaborative visual interface that displays parallel AI agent terminals alongside a live file reservation ledger. Agents acquire locks on specific paths before editing, preventing conflicting modifications in a shared repository.
How does The Board manage concurrent agent writes?
The Board maintains a real-time ledger of all file reservations. When an agent signals intent to edit a path, The Board grants exclusive write access. If a collision occurs, a safety snapshot is recorded automatically before any disk write.
Which AI agents can run on the canvas simultaneously?
You can run Claude Code, Codex, Kimi, and OpenCode in separate windows on the same canvas, each connected to its own provider credentials and terminal.
Can human developers code alongside the AI agents on the canvas?
Yes. Developers and teammates join the same canvas link with live cursors, direct terminal interaction, and visual feedback on currently locked paths.