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AI systems that can take actions in the world, not just generate text. They can browse the web, write and run code, use tools, and complete multi-step tasks with minimal human oversight.
The components of agent memory
For Claude to learn from experience, it has to decide what’s worth remembering before it knows what’s next. Here’s how “dreaming” helps it organize memory and correct mistakes.
Project EVE: Claude plays MMORPGs
AI models may one day participate in real companies and markets. In this project, we turned to a different setting: massively multiplayer online role-playing games—virtual worlds that in many ways reflect the complexity of the real world.
Investigating vault particles with Claude
We’re sharing another finding from Anthropic’s biology research lab: the first 3D structure of a vault particle found in prokaryotic cells. Here, we describe how Claude helped at each step of this research.
How AI agents shape experts’ judgment calls
As AI does more of the hands-on work, the hope is that experts still make the judgment calls, meaning the decisions with more than one defensible answer. We tested this with 50 professional analysts who did a statistical analysis with Claude Code. On each key decision, we randomly assigned which of two defensible options the agent would favor. Analysts mostly went with the agent’s side, and few named the agent as a reason afterward.
Donating Agent Skills to the Agentic AI Foundation
We’re donating Agent Skills, the open standard that gives AI agents specialized knowledge and workflows, to the Agentic AI Foundation. More than 70 agent platforms, including ChatGPT, Cursor, GitHub Copilot, and VS Code, have integrated Agent Skills since we published the standard in December 2025.
How Claude designed protein binders against scorpion neurotoxins
We asked an internal research Claude model to design minibinders (small proteins that attach tightly to a target) against scorpion neurotoxins.
Designing more efficient quantum circuits with Claude
We gave Claude plain-language specifications for eight quantum circuits, along with an automated evaluator to check and score its designs. Working largely on its own, Claude improved on the best published circuits, in some cases by an order of magnitude or more, which could bring practical quantum computers closer than previously anticipated.
How employment is changing at Anthropic
How has AI restructured work and employment at Anthropic? As a company at the frontier of AI adoption, Anthropic could be a leading indicator of how AI will shift work organization, hiring, and labor demand across the economy.
Working at the frontier shapes expectations for the future
We’re sharing two reports: the first covers how AI is changing employment inside Anthropic, and the second looks at the gap between how the public and Anthropic employees expect AI to affect work and the economy.
Redesigning source control at Anthropic
As our merges per day grew more than tenfold, source control became our biggest development bottleneck. Here, we share how we migrated to an in-house version control system in five months.
AI models may be capable of self-replicating without access to a datacenter
Our experiments suggest that small AI models may be only months away from being capable enough to self-replicate on commercial IoT devices, like Android TVs and smart ovens.
The missing map of the sky
Brice Ménard, an astrophysicist at Johns Hopkins University and a researcher at Anthropic, explains how he worked with Claude Science to produce the first complete map of the sky in UV light.
Introducing Claude Haiku 5.5
Claude Haiku 5.5 is our fastest, most capable small model. Built for high-volume work like summarization, subagents, and browser use.
Anthropic invests $100 million to train 10,000 engineers and tackle the enterprise AI talent gap
Anthropic is investing $100 million in Claude Frontier Academy to train 10,000 Frontier Deployed Engineers by the end of 2027, with cohorts from Accenture, Bain, CBA, Deloitte, McKinsey, Morgan Stanley and Novo Nordisk already underway.
Claude-shaped science
Guest author Prof. Matthew Schwartz describes what happened when he stopped fighting Claude and allowed Claude to find “Claude-shaped” problems: ones best suited to the capabilities of the current generation of LLM tools. This led him to build BootLoops, a toolkit for exact calculations in quantitative science, which he has been applying across scientific fields alongside experts.
Project Swap: What happens when agents trade for us?
To see what works and what breaks when agents are sent into a market, we made a miniature market of Claudes.
Claude discovers a novel enzyme system with CRISPR-like repeats
We’re announcing a new life sciences research group and laboratory at Anthropic. This post introduces the team behind this work and shares early results in which Claude discovered a novel enzyme system with properties reminiscent of CRISPR.
Introducing Claude Opus 5.5
Claude Opus 5.5 leads in agentic coding and knowledge work, and costs 40% less to run than Opus 5 on typical workloads.
Formalizing Fermat's Last Theorem
We are sharing the first complete computer-checked proof of Fermat’s Last Theorem. Claude worked largely autonomously over 11 days to write the proof in the Lean programming language.
Automated researchers can reliably mitigate alignment failures