Training a Harness: Achieving Model and Task Agnostic AI Systems

An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

github | stars 194,843

Trending AI model on Hugging Face — image-text-to-text.

🤗huggingface

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

github | stars 86,503

Trending AI model on Hugging Face — image-text-to-text.

🤗huggingface

🎨 The open-source Claude Design alternative. 🖥️ Local-first desktop app. 🖼️ Your coding agent becomes the design engine: prototypes, landing pages, dashboards, slides, images &…

github | stars 79,942

Trending AI model on Hugging Face — image-text-to-text.

🤗huggingface

World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.

github | stars 40,432

Trending AI model on Hugging Face — image-text-to-text.

🤗huggingface

DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.

github | stars 27,402

Trending AI model on Hugging Face — text-generation.

🤗huggingface

GPU collective communication is typically optimized for bandwidth, yet many emerging workloads are increasingly limited by latency. Long-context decode-heavy large language model (LLM) inference is a prime example, wher…

arxiv

Urban intersections are among the most hazardous locations in road networks, posing significant risks to vehicles and vulnerable road users (VRUs) such as pedestrians and cyclists. The complexity of multi-agent interact…

arxiv

LLM powered multi-agent systems (MAS) have emerged as a promising paradigm for complex tasks. However, their advantages over single-agent systems (SAS) remain unclear, with performance varying inconsistently across sett…

arxiv

Large language models (LLMs) are improving rapidly as reflected in benchmark scores, yet these AI benchmarks largely test capabilities such as factual recall, narrow question answering, mathematical problem-solving, and…

arxiv

Multimodal large language models have achieved strong performance across diverse vision-language tasks, yet their capabilities in UAV scenarios remain insufficiently explored. Recent UAV-oriented benchmarks have begun t…

arxiv

Evaluations should do more than measure a models current performance. They should tell us what to fix for the next model iteration and provide a way to generate targeted post training data. Most evaluation pipelines ide…

arxiv

We present Audio-Visual Flamingo (AV-Flamingo), a fully open state-of-the-art audio-visual large language model (AV-LLM) for joint understanding and reasoning over audio, images, and long-form videos. Unlike prior AV-LL…

arxiv

The growing adoption of Large Language Models in scientific research has created a need to understand what competencies researchers and graduate students require to use these tools critically and responsibly. This rapid…

arxiv

Agentic Artificial Intelligence (AI), enabled by Large Language Models, marks a shift from rule-based automation toward autonomous, goal-driven control of Next-Generation Networks (NGNs). Existing surveys treat the two…

arxiv

Scientific work increasingly spans heterogeneous artifacts -- papers, code, datasets, scientific file formats, model outputs, figures, manuscripts, and team decisions -- yet general-purpose AI assistants rarely preserve…

arxiv

The gateway is the runtime control plane for enterprise AI, turning policy into enforceable decisions across every model call, tool call, and agent hop.

langchain

Part 1 of Build your own claw and agent harness with Microsoft Agent Framework. In the overview we said a “claw” is really just an agent harness: a loop around a model, wired up with tools, planning, memory, and more. I…

devblogs.microsoft

Most AI teams focus on the wrong things. Here’s a common scene from my consulting work: AI TEAM Here’s our agent architecture – we’ve got RAG here, a router there, and we’re using this new framework for… ME [Holding up…

hamel

The capabilities that make agents useful also make them difficult to evaluate. The strategies that work across deployments combine techniques to match the complexity of the systems they measure. \n

anthropic

OpenWiki 0.2 generates codebase wikis in the OKF format, helping developers organize repo docs with metadata, changelogs, and agent-friendly retrieval.

langchain

Your Python agents can now pick up reusable bundles of domain expertise (instructions, reference material, and scripts that load only when a task calls for them) through a stable, production-ready API. Agent Skills for…

devblogs.microsoft

Today, I’m publishing evals-skills , a set of skills for AI product evals 1 . They guard against common mistakes I’ve seen helping 50+ companies and teaching 4,000+ students in our course . Why Skills for Evals Coding a…

hamel

Harnesses encode assumptions that go stale as models improve. Managed Agents—our hosted service for long-horizon agent work—is built around interfaces that stay stable as harnesses change.

anthropic

We tuned an Nemotron 3 Ultra's harness to match Opus 4.8's best agent run at ~8x lower cost, changing only the scaffolding around it.

langchain

Part 3 of Build your own claw and harness with Microsoft Agent Framework. In Part 2 our personal finance assistant learned to work with your data safely: it reads your portfolio, asks before it trades, and remembers wha…

devblogs.microsoft

We have been having extensive discussions around open source strategy. We will discuss it more at our next board meeting, but one thing we’d like to do soon is to create a language model with the approximate capability…

simonwillison

Chinese AI lab Moonshot AI announced Kimi K3 this morning, describing it as their "most capable model to date, with 2.8 trillion parameters". It's currently available via their website and API, but an open weight releas…

simonwillison

The bug report was received as a customer complaint. An AI agent responsible for managing vendor onboarding had sent a rejection email to a supplier the company had been trying to close for three months. Nobody had auth…

dzone

Though artificial intelligence tools have improved, our team has developed more skills for detecting AI fakes.

snopes

PrivadoVPN has built a local Model Context Protocol server into its Windows and macOS apps, letting AI dev tools connect, switch servers, and run diagnostics on your behalf.

techradar

Moonshot has unveiled its latest Kimi K3 Open model, which packs a stunning 2.8 trillion parameters & was able to build a chip that crunches 8700 tokens/s in inference. China's Kimi K3 AI Model Autonomously Designed A F…

wccftech

WebStorm 2026.2 is now available! If you work on a large TypeScript codebase, this release is a meaningful upgrade. TypeScript 7 support ships out of the box for projects already using it, delivering faster type checkin…

blog.jetbrains

The Right MCP Server for Your Agent Stack The open standard Anthropic published in November 2024 has moved faster than most anticipated. MCP now sits beneath a growing layer of production agent workflows, and the infras…

cloudtweaks

Why the MCP security crisis of 2026 isn't a patching problem — and the provenance-tracking architecture I built to actually close the gap. The Morning the Theory Stopped Being Theoretical In late January 2026, an attack…

dzone

In this post, we cover a high-level view of the Smartsheet remote MCP architecture, with a focus on the AWS infrastructure behind it. This includes security, governance, scaling and deployment, and the AI-specific optim…

aws.amazon