Context Window is the daily AI brief for applied AI builders. Subscribe free →
Feature
Agent Swarms Evolve: From Experimental Demos to Production Tools
New agent swarm models handle complex tasks with efficiency, but governance and cost remain critical challenges.
Read full article →Sign up for the daily AI brief
Each morning: models, tools, research, and conversations distilled from across the web — with why they matter for builders.
Around the Web
Agent Overload
Fresh Show HN launch.
news.ycombinator
Fresh Show HN launch.
github
Open Source Drama
$1.5 billion settlement largest known payout in U.S. copyright case Case part of a wave of lawsuits from copyright holders against AI companies Some authors and publishers opted out and continue separate cases against…
r/LocalLLaMA
Alibaba previewed Qwen3.8-Max this week. The claim: a 2.4T-parameter multimodal model that's second only to Anthropic's Fable 5. The pricing is what makes it interesting. - Fable 5: $10 in / $50 out per M tokens - Qwen3…
r/OpenAI
AI Cost Conundrum
Like I have been listening that AI is expensive and companies are rehiring employees because of it. So is AI going to become cheaper eventually?
r/artificial
I use AI for research almost every day now, and it's amazing for getting a quick overview of a topic. But I've also noticed that once the questions become really specific, you eventually need input from someone who's ac…
r/artificial
Assume a future where every human has a sovereign personal AI. Not a government AI. Not a party AI. Not a platform algorithm. A personal AI controlled by the citizen, built around their values, preferences, history, con…
r/artificial
Writing Metrics Mayhem
Top Hacker News discussion.
unslop
Honorable mentions
Fresh Show HN launch.
arxiv
From clem 🤗 on 𝕏: https://x.com/ClementDelangue/status/2079301434357456931 Fortune: Hugging Face says it resorted to a Chinese AI model to battle a fully autonomous cyberattack because U.S. model guardrails stymied it…
r/LocalLLaMA
I’ve seen many people worrying that if Trump moves to block Chinese AI models, aggregators like OpenRouter will no longer be able to host them. As someone from China, let me reassure you: there is really no need for suc…
r/LocalLLaMA
an engineer i interviewed with told me about the wildest thing hes done with an llm. not my project, but i cant stop thinking about it. he fed his whole teams git history into a model, not to look at the code but to und…
r/OpenAI
Tools
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
github | stars 194,849
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
github | stars 87,153
🎨 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 80,327
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 40,785
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 27,483
Research
We propose one-step and two-step methods for policy learning with retrieval-augmented generation (RAG). We formulate RAG-based action selection under the potential outcome framework. In the two-step method, vector searc…
arxiv
Real-time multimodal applications, including voice agents and interactive video generation, compose heterogeneous models into pipelines whose efficient deployment requires application-specific decisions about placement,…
arxiv
Battery-free Internet of Things (IoT) requires iterative design of vibration energy harvesters (VEHs) under coupled physical constraints, while LLMs are emerging as interface layers for engineering workflows. However, e…
arxiv
Coding agents are increasingly used to accelerate code generation in many downstream tasks, such as fixing bugs, building applications, and prototyping. However, despite their value as coding assistants, agent-generated…
arxiv
The rapid development of agentic AI and multi-agent systems is establishing AI agent communication as a fundamental requirement for the future Internet. While a diverse array of agent communication protocols has recentl…
arxiv
Financial question answering over U.S. Securities and Exchange Commission (SEC) filings requires retrieving and synthesizing heterogeneous evidence dispersed across long, standardized, and highly redundant disclosures.…
arxiv
Autonomous discovery systems such as OpenEvolve and TTT-Discover are often used as general-purpose harnesses. However, in practice these are composite systems combining several design choices about archives, parent sele…
arxiv
Retrieval-Augmented Generation (RAG)-based systems\footnote{For brevity, RAG-based systems are referred to as RAG systems throughout this paper.} are increasingly deployed in high-stakes settings where correct behaviour…
arxiv
Long-context, multi-turn, and agentic LLM workloads increasingly reuse previously processed context, making KV-cache reuse essential for reducing redundant computation. However, this reuse shifts the bottleneck to the m…
arxiv
Users frequently express their beliefs to large language models (LLMs). In some situations, the LLM should accept these contextual beliefs as true. In others, they should stick to their prior knowledge. Notably, users'…
arxiv
Playbooks
Learn how LangChain built IssueBench, a synthetic benchmark for evaluating how well LangSmith Engine identifies, categorizes, and groups issues in agent traces.
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
LangSmith now supports tracing for voice agents built with Pipecat, LiveKit, OpenAI Realtime, and Gemini Live. Capture audio, STT and TTS latency, interruptions, tool calls, and more in one trace.
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
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 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
News
Earlier this month I hosted a fireside chat session at the AI Engineer World's Fair with Cat Wu and Thariq Shihipar from Anthropic's Claude Code team. We talked about Claude Code, Claude Tag, Fable, coding agent securit…
simonwillison
Thomas Betts talks with Clare Liguori, the technical lead on the open source Strands Agents SDK. The conversation covers how Strands Agents has grown from a Python SDK to a full agent harness running in production. Clar…
infoq
Explore Maestro, an AI coding agent built in PHP with Neuron AI, featuring tool approval, CLI workflows, provider support, and MCP.
phpconference
In this post, we show how Amazon Quick can serve as the business-user front door for specialized agent workflows. We use the NVIDIA NeMo Agent Toolkit to build a supply-chain risk example that helps a planner move from…
aws.amazon
Every once in a while, I come across a third-party app that either resets my expectations for a particular niche of software on iOS or creates an entirely new category altogether. I’ve had quite a few of these moments i…
macstories
Table of Contents Running Gemma 4 Locally: Ollama, llama.cpp, MLX, and More Running Gemma 4 with Ollama for Local AI Inference Running Gemma 4 with llama.cpp and GGUF Models Running Gemma 4 with MLX on Apple Silicon Mac…
pyimagesearch
Moonshot’s Kimi K3 has set a new standard in artificial intelligence with its 2.8 trillion parameters, positioning it as the most advanced open source AI model to date. According to AI Grid, Kimi K3 employs a “mixture o…
geeky-gadgets
Nativ: Run AI models locally on your Mac Prince Canuma is the developer behind the excellent MLX-VLM Python library for running vision-LLMs using MLX on a Mac. I'm really excited about his new project, which wraps MLX i…
simonwillison
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
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