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Muse Code - Meta's terminal programming AI agent

Author: AI小集 · Original source: AI工具集

What is Muse Code

Muse Code is a terminal Meta programmingprogramming AI agent launched by , based on the Muse Spark 1.2 model, capable of handling complete software engineering tasks in large codebases, including planning changes, writing code, and verifying results. The Muse Code background agent continuously accumulates context during a session, large tasks can be split into multiple sub-agents for parallel execution, and it has an auditable local event log, allowing recovery from the breakpoint after a crash, directly competing with Claude Code and OpenAI Codex.

Muse Code

Muse Code's main features

  • Full-stack engineering agent: covers the complete software engineering process such as planning changes, writing code, and verifying results.
  • Persistent context agent: the background agent remains active throughout the session, accumulating codebase context over time instead of repeatedly exploring.
  • Parallel sub-agents: large tasks are automatically split into multiple sub-agents that execute in parallel in independent worktrees without conflicting with each other.
  • Working copy protection: the agent runs in an isolated environment and does not directly modify the user's original working copy.
  • Auditable logs: every model call, tool run, and edit is recorded in a local event log, ensuring full traceability.

How to use Muse Code

  • Install the tool: run in the macOS or Linux terminal curl -fsSL https://dev.meta.ai/install.sh | bash command to complete one-click installation.
  • Register and log in: log in to Muse Code with a Meta account, and follow the prompts to bind a payment method to complete account activation.
  • Choose a plan: choose a pay-as-you-go tier or a contributor plan priced as low as one-tenth, according to development needs.
  • Start a task: enter natural language instructions in the terminal to describe a software engineering task, and Muse Code will automatically plan changes, write code, and verify results.

Muse Code's core advantages

  • Long autonomous operation: supports 24-hour uninterrupted kernel optimization tasks, and after 1000+ tool calls still continuously discovers significant improvements.
  • Zero loss on crash: implements breakpoint resume based on local logs, ensuring no work progress is lost after a task crash.
  • Low-cost entry: the contributor plan costs about one-tenth of pay-as-you-go, and you can get started with just one line of code.
  • Enterprise-grade privacy: supports zero data retention requests, and Meta promises not to use developer data for model training.

Muse Code's project address

  • Project official website：https://research.meta.ai/blog/introducing-muse-code-and-muse-spark-1-2

Comparison of Muse Code with similar competitors

Comparison dimension Muse Code Claude Code
Background agent persistence The background agent remains active throughout the session and automatically accumulates codebase context over time Mainly relies on active user interaction to advance tasks, with context accumulating over conversation turns
Parallel Execution Capability Large tasks are automatically split into multiple sub-agents, executed in parallel in independent worktrees Primarily single-agent serial processing; complex tasks require the user to manually advance step by step
Crash Recovery Mechanism A local append-only event log records every operation, allowing precise resumption from the interruption point after a crash After an interruption, the user usually needs to re-describe the requirements and manually restore context
Codebase Isolation Sub-agents run in isolated environments and do not directly touch the user's original working copy File modifications are performed directly in the user's working directory, relying on Git for version rollback
Underlying Model Muse Spark 1.2 (optimized through training specifically for coding synchronization) Claude 4 series (general-purpose large models such as Opus / Sonnet)
Pricing Model Pay-as-you-go + contributor plan as low as one-tenth the price Fixed monthly subscription (Pro $20/month) or API pay-as-you-go billing

Muse Code Application Scenarios

  • Large-Scale Codebase Refactoring: Plan and execute cross-module code migration in parallel without affecting the main branch.
  • Game Feature Development: Build multiple independent feature modules for a game project simultaneously, avoiding code conflicts and merge difficulties.
  • Kernel Performance Optimization: Execute long-running automated tuning tasks to continuously uncover opportunities for code performance improvement.
  • Security and Compliance Development: Leverage auditable logs and zero data retention to meet the compliance requirements of sensitive industries such as finance and healthcare.
  • Full-Stack Automated Delivery: Achieve end-to-end software engineering automation, from requirements planning to code writing to test verification.