Muse Code and Muse Spark 1.2
Introducing Muse Code and Muse Spark 1.2August 5, 2026·4 minute readWe're excited to release Muse Code (beta), a terminal coding agent powered by Muse Spark 1.2, our newest model. This marks our next step toward the frontier, with larger and much more capable models on the way. Install Muse Code on macOS or Linux:curl -fsSL https://dev.meta.ai/install.sh | bashCopy installation command Muse Code takes on complex software engineering tasks across large repositories: planning changes, writing code, and validating the results.
- ▪Introducing Muse Code and Muse Spark 1.2August 5, 2026·4 minute readWe're excited to release Muse Code (beta), a terminal coding agent powered by Muse Spark 1.2, our newest model.
- ▪This marks our next step toward the frontier, with larger and much more capable models on the way.
- ▪Install Muse Code on macOS or Linux:curl -fsSL https://dev.meta.ai/install.sh | bashCopy installation command Muse Code takes on complex software engineering tasks across large repositories: planning changes, writing code, and validating th
2 outlets in our directory ran this story, first to last over 5 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Introducing Muse Code and Muse Spark 1.2 — Simon Willison's Weblog
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Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Meta AI Research |
| Canonical URL | https://research.meta.ai/blog/introducing-muse-code-and-muse-spark-1-2 |
| Publication time | Wed, 05 Aug 2026 19:15:52 +0000 |
| Retrieval time | 2026-08-05T19:35:47.247Z |
| Last seen | 2026-08-05T19:35:47.247Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | S4jc3LP5BpOZ · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Introducing Muse Code and Muse Spark 1.2August 5, 2026·4 minute readWe're excited to release Muse Code (beta), a terminal coding agent powered by Muse Spark 1.2, our newest model. This marks our next step toward the frontier, with larger and much more capable models on the way. Install Muse Code on macOS or Linux:curl -fsSL https://dev.meta.ai/install.sh | bashCopy installation command Muse Code takes on complex software engineering tasks across large repositories: planning changes, writing code, and validating the results. It can coordinate multiple persistent subagents for each task, solving difficult problems faster, more accurately, and with less intervention.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Meta AI Research.
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