MonkeysCode vs Murmell
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension |  MonkeysCode |  Murmell |
|---|---|---|
| Primary Category | Software Engineering | Software Engineering |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 6 votes | 99 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Artificial Intelligence#Developer Tools#Software Engineering | #Artificial Intelligence#Developer Tools#Software Engineering |
| Maker / Company | Independent Developer | Independent Developer |
| Platform Verification | Community Listing | Community Listing |
About MonkeysCode
MonkeysCode is an agentic IDE designed to give developers total control over their coding environment and the artificial intelligence models they use. Created by founder Jorge Peraza, MonkeysCode allows you to write software by leveraging powerful models including Capuchin, Claude, Gemini, ChatGPT, or even your own custom models.
As an agentic development environment, MonkeysCode does more than just autocomplete text. It is built to plan, edit, and verify tasks across your entire codebase. Operating directly on your machine when you want it to, MonkeysCode offers a flexible, powerful solution for software engineering and modern development workflows.
Pros of MonkeysCode
- Supports multiple top-tier AI models including Claude, Gemini, ChatGPT, Capuchin, and custom models
- Agentic capabilities that can plan, edit, and verify across your codebase
- Runs locally on your machine
- Brings advanced artificial intelligence directly into your software engineering workflow
Cons of MonkeysCode
- Requires familiarity with advanced agentic IDE workflows
- Model performance depends heavily on the chosen AI provider or custom model
Frequently Asked Questions
What is MonkeysCode?
MonkeysCode is an agentic IDE that plans, edits, and verifies across your codebase using your choice of AI model directly on your machine.
Which AI models can I use with MonkeysCode?
You can code using Capuchin, Claude, Gemini, ChatGPT, or your own custom model.
Who created MonkeysCode?
MonkeysCode was founded by Jorge Peraza, who is also known for Capuchin AI.
About Murmell
Murmell is an innovative shared cloud canvas designed to bridge the gap between human development teams and AI agents. Operating as a unified workspace, it allows humans and AI to work together in the same room and on the same repository, complete with live previews and persistent cloud execution that keeps your projects moving even after you close your laptop.
Built to handle collaborative coding at scale, Murmell features a smart file-claiming mechanism where AI agents must claim files before writing to them. This ensures that people and agents can move simultaneously without risking overwritten code. Supporting a diverse lineup of models and tools including Claude Code, Codex, Kimi, and OpenCode—with future additions like OpenClaw and Hermes on the way—Murmell ensures that all completed work safely lands back in git so your projects are always right where you expect them.
Pros of Murmell
- Enables real-time collaboration between human teams and multiple AI agents in the same repository.
- Smart file-claiming mechanism prevents people and AI agents from overwriting each other's work.
- Persistent cloud execution keeps tasks running even after you close your laptop.
- Supports multiple AI tools and models like Claude Code, Codex, Kimi, and OpenCode, with more on the horizon.
- All completed work automatically lands back in git for easy project tracking.
Cons of Murmell
- Limited to the specific AI agents and models currently supported or announced.
- Relies entirely on a cloud-based canvas environment which may require constant internet connectivity.
- Feature set is currently focused on core repository collaboration and previews, with more features still coming in the future.
Frequently Asked Questions
What is Murmell?
Murmell is a shared cloud canvas where development teams and AI agents can work together in the same room, on the same repository, with built-in previews and persistent cloud processing.
How does Murmell prevent overwriting code between humans and AI?
Murmell utilizes a file-claiming system where AI agents must claim files before they write to them, allowing people and agents to code simultaneously without overwriting each other's changes.
Which AI agents are supported on Murmell?
Currently, Murmell supports Claude Code, Codex, Kimi, and OpenCode, with additional agents like OpenClaw and Hermes planned for the future.
Where does the completed work go?
All work completed on the Murmell cloud canvas lands back in git, ensuring you can always find your projects securely tracked in your repository.