A shared canvas for collaborating with multiple AI coding agents in a single repository.
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Streamlines collaboration between multiple AI coding agents
Biggest con
Requires users to already have accounts for individual AI agents
TL;DR - Murmell
- Run multiple AI coding agents in a single, shared repository.
- Prevents file conflicts with a reservation system for agents.
- Facilitates real-time collaboration and observation of agent activity.
Pricing: Free plan available
Best for: Growing teams
What is Murmell?
Murmell provides a collaborative environment where multiple AI coding agents (like Claude Code, Codex, Kimi, OpenCode, Gemini, Hermes, Cursor) can work together on a single codebase. It acts as a shared canvas, allowing users to run various agents in one repository without installation. The platform addresses the challenge of managing multiple agents by providing a structured way for them to interact with files, preventing conflicts and streamlining the development process.
This tool is designed for developers, teams, and individuals leveraging AI for coding tasks who want to orchestrate multiple AI agents effectively. It eliminates the need for manual merging and context switching between different agent environments, fostering a more integrated and efficient AI-assisted development workflow. By centralizing agent activity and providing real-time visibility, Murmell aims to enhance productivity and collaboration in AI-driven software development.
Pros & Cons
Pros
- Streamlines collaboration between multiple AI coding agents
- Eliminates merge conflicts by managing file access
- Provides a unified view of all agent activities
- Easy to share progress with team members
- Leverages existing AI agent accounts, no vendor lock-in for agents
Cons
- Requires users to already have accounts for individual AI agents
- Specific limitations or costs associated with running agents on Murmell's machines are not fully detailed (though it states 'on its own machines')
- The 'free now + $60 of Claude credit' offer is limited, implying future costs
Key Features
Shared canvas for multiple AI agentsSupport for various AI coding agents (Claude Code, Codex, Kimi, OpenCode, Gemini, Hermes, Cursor)Single repository for all agent activitiesReal-time observation of agent changes and terminal outputFile reservation system to prevent conflicts (one holder per path)No installation requiredAbility to invite team members to view agent activityMurmell's own agent for orchestrating tasks
Pricing
Freemium
Murmell offers a generous free tier with optional paid upgrades for advanced features.
Reviews
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Murmell FAQ
How does Murmell prevent multiple AI agents from overwriting each other's work?
Murmell implements a file reservation system. When an agent intends to modify a file, it first claims that file. Only one agent can hold a reservation for a specific file path at a time, ensuring that other agents wait until the file is released, thus preventing merge conflicts and overwrites.
Can I use my own existing AI agent accounts with Murmell, or do I need to purchase new ones?
Murmell is designed to work with your existing AI agent accounts. It launches the command-line tools for the agents you already pay for on its own machines. It does not resell agents or store your keys, acting as an orchestration layer rather than a new agent provider.
What happens if an AI agent crashes or disconnects while working on a file in Murmell?
The website mentions a scenario where 'The agent dies with your laptop,' implying that agent processes are tied to the user's session or environment. However, it also states Murmell runs agents 'on its own machines,' suggesting some resilience. More specific details on crash recovery or session persistence for agents are not provided.
Is there a way for human developers to interact or intervene with the agents' coding process within Murmell?
While Murmell allows users to 'hold to talk' and instruct its own agent, and observe all changes in real-time, the direct intervention or editing capabilities for human developers within the shared canvas alongside the AI agents are not explicitly detailed beyond observation and initial task assignment.
Source: murmell.com