--- title: Anthropic releases Opus 4.6 with new 'agent teams' description: Anthropic launched Opus 4.6, introducing 'agent teams' that enable multiple AI agents to work in parallel on segmented tasks rather than sequentially. The... canonical: https://daily.dev/posts/anthropic-releases-opus-4-6-with-new-agent-teams--0plniylnc twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Anthropic releases Opus 4.6 with new 'agent teams' | daily.dev og:description: Anthropic launched Opus 4.6, introducing 'agent teams' that enable multiple AI agents to work in parallel on segmented tasks rather than sequentially. The... og:url: https://daily.dev/posts/anthropic-releases-opus-4-6-with-new-agent-teams--0plniylnc og:image: https://api.daily.dev/og/posts/0PLNIyLNC.png og:image:alt: Anthropic releases Opus 4.6 with new 'agent teams' og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Anthropic releases Opus 4.6 with new 'agent teams' **[TechCrunch](https://daily.dev/sources/tc)** · 3 min read · 0 upvotes · 0 comments ## Summary Anthropic launched Opus 4.6, introducing 'agent teams' that enable multiple AI agents to work in parallel on segmented tasks rather than sequentially. The update expands the context window to 1 million tokens, matching Sonnet's capacity for handling larger codebases and documents. A new PowerPoint integration allows users to craft presentations directly within the application with Claude's assistance. The model aims to broaden appeal beyond software developers to knowledge workers across various industries including product managers and financial analysts. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Claude Opus 4.6 Introduces Adaptive Reasoning and Context Compaction for Long-Running Agents](https://daily.dev/posts/claude-opus-4-6-introduces-adaptive-reasoning-and-context-compaction-for-long-running-agents-lkaimy0ya) · InfoQ · 1 upvotes · 0 comments - [Claude Opus 4.6 now available in GitLab Duo Agent Platform](https://daily.dev/posts/claude-opus-4-6-now-available-in-gitlab-duo-agent-platform-luz1vvbar) · GitLab · 3 upvotes · 1 comments - [Anthropic releases Sonnet 4.6](https://daily.dev/posts/anthropic-releases-sonnet-4-6-aufw9ozvi) · TechCrunch · 1 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#ai-agents](https://daily.dev/tags/ai-agents), [#anthropic](https://daily.dev/tags/anthropic), [#claude](https://daily.dev/tags/claude), [#llm](https://daily.dev/tags/llm) [View this post on daily.dev](https://daily.dev/posts/anthropic-releases-opus-4-6-with-new-agent-teams--0plniylnc) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Anthropic releases Opus 4.6 with new 'agent teams'","url":"https://daily.dev/posts/anthropic-releases-opus-4-6-with-new-agent-teams--0plniylnc","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/anthropic-releases-opus-4-6-with-new-agent-teams--0plniylnc"},"datePublished":"2026-02-05T17:54:57.244Z","dateModified":"2026-03-15T05:30:14.926Z","description":"Anthropic launched Opus 4.6, introducing 'agent teams' that enable multiple AI agents to work in parallel on segmented tasks rather than sequentially. 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