Google EnvHarness Enables Self-Evolving Agents to Learn in Dynamics Environments
Google researchers open sourced EnvHarness, a framework that dynamically adapts agent-training environments to an agent's weaknesses without modifyi…
Последние новости Open Source от Tech News
Google researchers open sourced EnvHarness, a framework that dynamically adapts agent-training environments to an agent's weaknesses without modifyi…
AWS has introduced two open-source projects for AI agent development: Strands Decider 2B, a small model designed to make decisions within agent work…
Google has introduced support for local models in the Antigravity SDK, enabling developers to build and execute agentic workflows directly on their…
Once AI is in production, code arrives faster than it can be reviewed, token costs rise, evals have to be good enough to act on, and agents need per…
Researchers from Meta, MIT, and the University of Washington introduce Context Language Models (CLMs), a new approach that enables language models t…
Google has released Android Bench 2.0, a major update to its benchmark framework for evaluating AI models and agents on Android development tasks. T…
During its recent “Birthday Week”, Cloudflare announced Clef, a set of open-weight AI models designed to choose between predefined options rather th…
Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balan…
In this episode, Chris Swan, engineer at Atsign and security track host at QCon London, reflects on the ideas shared during QCon London 2026 and tea…
In this article, author discusses his experience with AI agent hallucinations in an inventory recommendation system and how this problem was solved…
Swaroop Chitlur and Sidd Kodwani share DoorDash’s journey building an internal GenAI platform. They discuss core architectural bets, transitioning f…
DigitalOcean recently launched DigitalOcean Managed Agents in public preview, offering a managed cloud infrastructure layer for AI agents with isola…
Ben Maraney shares how Forter demystified AI agent creation for technical and non-technical staff. He discusses leveraging custom MCP servers, combi…
In this episode, Meryem Arik, Clara Higuera Cabañes, and Jeff Smith, demystify the current state of AI in the enterprise. The discussion navigates t…
Security researcher Patrick Wardle revealed an unpatched zero-day vulnerability in Meta's Muse desktop client for macOS. This flaw lets unprivileged…
Balakrishnan Ramdoss discusses how to architect production-grade, AI-powered conversational apps at scale. He explains how to overcome model latency…
Graphify is an open-source tool designed to convert codebases and unstructured data into queryable knowledge graphs. Launched in April 2026, it addr…
OpenAI’s Vinoth Govindarajan discusses why production AI agents fail beyond model hallucination. Using real-world case studies like OpenClaw, he exp…
This article examines the limitations of conventional personalization systems and highlights the need for a governance-first architecture. It emphas…
Alibaba recently open-sourced OpenCodeReview, an AI-powered code review CLI that combines deterministic pipelines for file selection, bundling, and…
Google has released the Agent Development Kit (ADK) for Kotlin 1.0, a production-ready framework for building AI agents across Kotlin, Android, and…
DoorDash built a multi-agent LLM system to automate stale feature flag cleanup across more than 60,000 flags and 623 repositories. The workflow comb…
Dropbox has evolved Riviera from a file preview service into a universal content processing platform supporting more than 300 file formats and over…
Alex Porcelli discusses the critical gap in enterprise AI: non-deterministic output and lack of accountability in high-stakes decisions. He shares h…
After six days of on-site investigation at OpenAI, a small team of METR and Redwood Research researchers provided an account of how OpenAI agents be…
Cassie Shum discusses why knowledge graphs serve as a critical foundation for agentic systems. Moving beyond basic RAG, she explains 4 practical arc…
NVIDIA Personal AI Router (PAIR), now available in beta, lets you combine the inference capacity of multiple computers on your local network and aut…
LinkedIn has published details of the training infrastructure behind its AI-powered job search, describing a multi-teacher distillation pipeline tha…
OpenAI has released GPT-6 Astra, a new model focused on coding, computer use, long-running agentic tasks, and cybersecurity, with availability acros…
Meta describes how an AI agent can be designed to capture the logic and expertise of domain experts, rather than simply storing documents or retriev…