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CheMLFlow is an open-source platform for building and executing end-to-end, high-throughput, and agentic workflows for scientific and technological applications. CheMLFlow targets a common bottleneck in scientific mac... Context & related coverage →
Install portable Agent Plugins and search across local, personal, workspace, and remote plugin catalogs. ( #36544 , #36409 , #36919 , #36796 ) · Organize conversations into persistent, manually ordered sections and br... Context & related coverage →
LLM agents that repair failures often discard successful corrections, forcing later episodes to rediscover similar solutions. We study whether finalized repair outcomes can improve subsequent Text-to-SQL episodes with... Context & related coverage →
Unpaired image-to-image translation must decide, per image, what to change and what to preserve without paired supervision. Many diffusion-based unpaired translators control preservation through a single global noise... Context & related coverage →
Incident Report: unsanctioned agent behaviour during cyber testing It happened again . This time it was the UK government's AI Security Institute who accidentally attacked other companies while running an evaluation w... Context & related coverage →
Introducing Muse Code and Muse Spark 1.2 Yet more evidence that the most important characteristic of any model these days is long-sequence agentic tool calling. Meta shipped their own coding agent as part of getting t... Context & related coverage →
DeepSeek, state oil giant back humanoid robot maker Unitree's $900m IPO Nikkei Asia Context & related coverage →
Deep Agents, LangChain, and LangGraph each offer distinct approaches to building agents. In this post, we cover the key distinctions between our open source frameworks and when you should reach for each one. Context & related coverage →
Learn how LangChain built an autonomous SRE agent for Kubernetes deployments with Deep Agents, human approval for changes, LangSmith tracing, and evals. Context & related coverage →
I’ve talked to developers, IT leaders, and builders who all ask the same question: How do we actually get agents into production? The answer isn't theoretical — it's hands-on. Whether it’s designing a system that allo... Context & related coverage →
Running AI agents on Kubernetes raises a key question: should each agent get its own Pod? The kagent project argues no—agents are bursty, short-lived, can spawn subagents, and may wait for human approval, making one P... Context & related coverage →
We’re making updates to Claude Fable 5’s biology safeguards in a way that substantially reduces fallbacks. Context & related coverage →