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Muse Code

Meta Coding Agent Built On Muse Spark For Complex Repository Work

Pricing
Usage Based Beta
Free plan
No Permanent Free Plan Verified
Platforms
macOS, Linux, Terminal, CI

Tool Information

Muse Code
Meta
Updated: September 2026
Tool type: Terminal And CI AI Coding Agent
Pricing: Usage Based Beta
Free plan: No Permanent Free Plan Verified
Platforms: macOS, Linux, Terminal, CI
Login required: Yes
API: Meta Model API And Muse Code Automation Interfaces Available
Browser extension: No
Mobile app: No
AI models: Meta Muse Spark
Developer: Meta

About Muse Code

What Is Muse Code?

Muse Code is Meta's coding agent for terminal and continuous integration workflows. It is built on Muse Spark and is intended for development tasks that require the model to understand a repository plan a solution modify multiple files and validate the result rather than only return code in a chat window.

Designed For Controlled Agent Execution

Agentic coding can become risky when a model is allowed to execute arbitrary commands. Muse Code includes an approval system and sandboxing so developers can control how the agent interacts with the machine and repository while still benefiting from automated shell and code workflows.

Sessions Skills And Multi Agent Work

Developers can preserve sessions package repeatable instructions into skills extend lifecycle behavior with shell commands and distribute work across parallel agents. Those capabilities make Muse Code relevant to CI and engineering automation where the same development task needs to be repeated consistently.

Who Is Muse Code Best For?

  • Terminal first developers using Meta's Muse models
  • Teams automating development tasks in CI
  • Engineers experimenting with parallel coding agents
  • Developers who want sandboxed agent execution
  • Organizations building on Meta Model API
Key features
  • Muse Spark: Uses Meta's coding focused model for software tasks.
  • Terminal Agent: Works directly from the command line.
  • CI Support: Designed for automated engineering workflows.
  • Approvals: Keeps sensitive agent actions behind explicit control.
  • Sandboxing: Restricts execution to reduce the impact of unsafe commands.
  • Persistent Sessions: Preserves coding context across work.
  • Skills: Packages reusable agent instructions and procedures.
  • Custom Commands: Connects shell based logic to the agent lifecycle.
  • Multi Agent Orchestration: Distributes work across parallel agents.
Use cases
Terminal Coding,CI Automation,Multi File Refactoring,Agent Orchestration,Code Validation,Repository Tasks,Software Automation,Meta Model Development
How to use

How To Use Muse Code

  1. Open Meta Model API: Sign in to the Meta developer platform and confirm that Muse Code access is available for your account.
  2. Install Muse Code: Use the official one line shell installer on a supported macOS or Linux environment.
  3. Authenticate: Configure the account or Model API access required by the current Muse Code setup.
  4. Open A Repository: Start Muse Code from the project directory so the agent can inspect the relevant codebase.
  5. Describe The Task: Provide a clear goal expected behavior and any validation requirements.
  6. Review Approvals And Sandbox Settings: Decide which commands and file actions the agent may perform before increasing autonomy.
  7. Run And Inspect The Session: Let Muse Code plan implement and validate the change while reviewing its activity.
  8. Extend For Automation: Add reusable skills custom lifecycle commands or CI integration only after the interactive workflow has been tested safely.
Best for
Developers, AI Engineers, CI Teams, Advanced Terminal Users, Agent Automation
Integrations
Meta Model API,Terminal,CI,Skills,Shell Commands,Multi Agent Workflows
Commercial use
Subject To Meta Model API And Muse Code Terms

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