Large language model (LLM)-based agents have demonstrated remarkable capabilities in addressing complex tasks, thereby enabling more advanced information retrieval and supporting deeper, more sophisticated human information-seeking behaviors. However, most existing agents operate in a purely reactive manner, responding passively to user instructions, which significantly constrains their effectiveness and efficiency as general-purpose platforms for information acquisition. To overcome this limita...

GitHub pioneered the modern AI coding era with Copilot, and the resulting explosion in agentic coding has led to notable strains on the most popular developer platform in the world. Here's the plan.

The systems, powered by Cosmos 3, are designed to accelerate development of autonomous vehicles, robots and vision AI systems.

Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically..

AI agent skills published by NVIDIA

🐾 Caracal is pre-execution authority enforcement for AI agents controlling delegated actions with real-time revocation and immutable proof.

Lean Cortex -- the cognitive context layer for agentic systems. 51+ MCP tools, 10 read modes, 95+ shell patterns. Up to 99% token savings. Works with Cursor, Claude Code, Copilot, Windsurf, Codex, Gemini.

Mistral AI's latest release brings async cloud-based coding sessions, a new 128B flagship model, and an agentic Work mode to Le Chat — a meaningful step forward for developers building with AI agents. The post Mistral AI Launches Remote Agents in Vibe and Mistral Medium 3.5 with 77.6% SWE-Bench Verified Score appeared first on MarkTechPost.

A 12-metric evaluation framework for production AI agents — covering retrieval, generation, agent behavior, and production health. Drawn from 100+ enterprise deployments. The post Building an Evaluation Harness for Production AI Agents: A 12-Metric Framework From 100+ Deployments appeared first on Towards Data Science.