Rohan Paul@rohanpaul_ai
33AI 编辑部评分,满分 100
2026-08-06 04:57· 32分钟前
AI 导读

Meta 发布首个编程智能体 Muse Code(测试版),基于 Muse Spark 1.2,支持规划、工具调用、持久会话上下文、并行子智能体与自动验证,可长时间独立处理大型软件任务。

Meta just shipped the beta version of its first coding agent.

Muse Code is the agent system around Muse Spark 1.2, adding planning, tools, persistent session context, parallel sub-agents, and automatic validation.

So it can handle one large software task for hours without needing a human to prompt every next step.

• Scores 82.9% on Terminal-Bench 2.1 against 86.7% for Claude Code running Opus 5.

• On DeepSWE 1.1 it lands at 59.3%, behind Opus 5 (65.0%) and GPT 5.6 Terra (64.8%).

• installs with one command

• You get background agents that stay alive for the whole session and accumulate context, instead of restarting cold on every task.

• When a job grows big enough, the work fans out to sub-agents running in parallel inside isolated worktrees.

• Every model call, tool run and edit hits a local event log before it executes, so a crash resumes from the last entry with nothing re-prompted.

• That durability is why it could run 1,000+ tool calls over 24 hours on NVIDIA Hopper and keep finding kernel improvements deep into the session.

• Pricing matches Muse Spark 1.1: $1.25/$4.25 per million input/output tokens

Mark ZuckerbergReleasing Muse Code in beta today. It's a terminal coding agent that takes on complete software engineering tasks across large repos: planning changes, writing ...

来源:Rohan Paul · x.com

Rohan Paul · @rohanpaul_ai · X·2026-08-06 04:57·32分钟前
AI 导读

Meta 发布首个编程智能体 Muse Code(测试版),基于 Muse Spark 1.2,支持规划、工具调用、持久会话上下文、并行子智能体与自动验证,可长时间独立处理大型软件任务。

Meta just shipped the beta version of its first coding agent.

Muse Code is the agent system around Muse Spark 1.2, adding planning, tools, persistent session context, parallel sub-agents, and automatic validation.

So it can handle one large software task for hours without needing a human to prompt every next step.

• Scores 82.9% on Terminal-Bench 2.1 against 86.7% for Claude Code running Opus 5.

• On DeepSWE 1.1 it lands at 59.3%, behind Opus 5 (65.0%) and GPT 5.6 Terra (64.8%).

• installs with one command

• You get background agents that stay alive for the whole session and accumulate context, instead of restarting cold on every task.

• When a job grows big enough, the work fans out to sub-agents running in parallel inside isolated worktrees.

• Every model call, tool run and edit hits a local event log before it executes, so a crash resumes from the last entry with nothing re-prompted.

• That durability is why it could run 1,000+ tool calls over 24 hours on NVIDIA Hopper and keep finding kernel improvements deep into the session.

• Pricing matches Muse Spark 1.1: $1.25/$4.25 per million input/output tokens

Mark ZuckerbergReleasing Muse Code in beta today. It's a terminal coding agent that takes on complete software engineering tasks across large repos: planning changes, writing ...

来源:Rohan Paul· x.com