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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 →
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 →
A single-author repo of instruction files, not code, Ponytail passed 44,000 GitHub stars in nine days by making coding agents stop over-building. Its headline claim of 80-94% less code came from a flawed baseline; aft... 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 →
Meta Debuts AI Coding Agent Muse: Here’s How It Compares to Claude Code and Codex Decrypt Context & related coverage →
Added owner wildcard entries ( "owner/*" ) to the strictKnownMarketplaces and blockedMarketplaces managed settings for allowing or blocking all marketplace r... · Added a warning when workflow agents, forked skills, s... Context & related coverage →
We introduce Video-DeepResearch (Video-DR), extending multimodal agents from static images to continuous video streams, a setting that demands dense spatiotemporal grounding coupled with open-web exploration. Prelimin... Context & related coverage →
Release 0.147.0-alpha.13 Context & related coverage →
Updated bundled Claude CLI to version 2.1.223 Context & related coverage →
Z.AI vs MiniMax: Which Chinese frontier AI stock should you buy? Investing.com Context & related coverage →
Learn how to evaluate voice agents across execution, outcomes, and caller experience using LangSmith traces, code evaluators, LLM judges, and human review. Context & related coverage →