为团队构建真正的 Agent OS：来自 Ankole 的工程实践
此为《Building a Real Agent OS for Teams: Lessons from Ankole》的中文翻译版，倘有歧义请以英文原版为准。1. 从单用户 Harness 到集体认知在独立开发者的笔记本电脑上，Claude Code、Codex 与 OpenCl...
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44 篇笔记
vLLM Semantic Router Releases d3-ultra: A 27B Open Multimodal Decision Model
vLLM Semantic Router released d3-ultra, a 26.09B Apache-2.0 multimodal decision model scoring 87.2 on its own SR-Text benchmark.
多 Agent 协作终极解：实测 YC 开源新作 Agent Relay，让 Claude Code 和 Codex 直接对话
这周，美国创业孵化器 Y Combinator 2026 年秋季营（YC Fall 2026）的创业公司 Agent Workforce 发布了开源项目 Agent Relay。公司的两位联合创始人分别是 CEO Will Washburn 和 CTO Khaliq Gant，其...
Lemo-Opuscar 史诗级更新：8种新风格+新改编玩法，我把风格库变成了风格制作工具箱
Hello 大家好，我是lemomo。这次 Lemo-Opuscar 迎来了上线以来最大的一次更新，不光有新的风格，还有新的玩法，整个项目定位从【视频风格库】变成【搭建自己风格库的工具】。新增【剪辑与纪实】8 种风格，目前从最早的39种已经更新到了59种。未来会继续更新，我的目标...
LLMs are making formal software verification feasible at a much larger scale
Claude formally proved security properties in the compiled code of 123 open-source libraries. Along the way, it found bugs that had eluded detection for years.
A deep dive into OpenSEO
Explore OpenSEO's architecture: SEO data APIs, Cloudflare Workers, its audit crawler, MCP tools, AI agents, storage, and self-hosting trade-offs.
How to become a Robotics Engineer in 6 months (RESOURCES)
Robotics is the least crowded high-value skill in tech right nowThe problem is that almost nobody knows where to start, because the field lo...
From rg to zg: Local Search Beyond Keywords
Summary: The information humans and agents need is often scattered across large numbers of local files, making it difficult to locate accura...
Your Inference Server is Secretly a Learner: Open-Sourcing Reef for Continual Self-Improving Agents
1. Before all the “RSI” hype becomes realBefore today's excitement around RSI is fully realized, we want to open-source Reef, an infrastruct...
Evaluating OpenWiki with WikiBench
OpenWiki is our open source agent for generating and maintaining codebase documentation. As we improve OpenWiki, we’ve needed to measure two...
How to Cut Agent Tokens by 2.7x (using an open harness)
Everything you need to understand where your agent's tokens actually go and what to do about it. It covers what a production harness owns be...
Codex as a platform: build on the open agent harness
Build Codex into the products and workflows your users already know.
wal3: A Write-Ahead Log for Chroma, Build on Object Storage
wal3, Chroma's write-ahead log, combining a 30-year-old lock-free algorithm with S3's newest conditional writes feature.
What is a Harness?
An agent harness is a piece of software that provides an environment for an AI model to operate within.
An open source rival to Claude Managed Agents just launched
TrueFoundry's open source TrueForge challenges Claude Managed Agents with vendor-neutral model choice, claiming 50% lower agent costs and no lock-in.
Fragments: August 18
fragments 18 Aug 2026
The Agent Harness Should Be Open
Today, we are open sourcing TrueForge, the agent harness we use at TrueFoundry to build and run general-purpose agents. Because once agents ...
What Is Reasoning
A short summary of how reasoning traces work.
Your Agent Remembers Everything and Understands Nothing
Agent memory is where analytics was for years, returning what you asked for and nothing more. Then analytics started surfacing which number ...
Five AI rivals just backed a shared plugin standard. Here's why it matters for developers.
OpenAI, AWS, Cursor, GitHub and Microsoft back Vercel's new Agent Plugins standard for packaging AI skills and MCP servers. Here's what it means for developers.
Deep Agents vs LangChain vs LangGraph
Deep Agents, LangChain, and LangGraph each offer distinct approaches to building agents. In this post, we cover the key distinctions between...
LLM Inference: Past, Now, and Future — Where Does the Value Move?
LLM Inference — Past, Now, and Future: Where Does the Value Move?For the past two years, LLM inference has been one of the most contested la...
LLM Inference: Past, Now, and Future — Where Does the Value Move?
LLM Inference — Past, Now, and Future: Where Does the Value Move?For the past two years, LLM inference has been one of the most contested la...
Cloudflare OS: an open platform for agents, apps, and work
Cloudflare OS is an open-source platform that lets everyone in your company build apps, automate work, and safely access internal systems, shaped around what your organization knows and how it operates.
Behind the scenes: How we build, test, and scale Google Agent Skills
AI agents are only as good as the instructions and context you give them. When we launched Google Agent Skills, our goal was simple: encode ...
YC 开源 QM：当每个员工都有 Agent，公司需要怎样的协作系统？
未来一家公司里，可能每个员工都有自己的 Agent。它们能读文件、查数据库、写代码、回复邮件，也能在后台持续运行任务。问题随之而来：这些 Agent 应该看到什么？记住什么？使用谁的账号？哪些能力可以共享？危险动作由谁批准？7 月 31 日，Y Combinator 开源的 QM...
We rewrote our agent to run entirely in a Durable Object with Pi, Agents SDK and Code Mode
We recently finished moving the camelAI agent off of virtual machines. The agent now runs inside a Cloudflare Durable Object, its filesystem...
The State of Agent Wikis
In April 2026, Andrej Karpathy published a GitHub Gist describing a pattern he called the LLM Wiki.In the months since, four different teams...
Controlling Reasoning Effort in LLMs
How LLMs Learn Low-, Medium-, and High-Effort Reasoning Modes
The zero-cost fallacy: Open source software in the agentic era
Open source software is the foundation of much of our digital infrastructure. However, is AI undermining the incentive structure? What needs to change?
Your KV Caching Is Broken
A practitioner's guide to KV cache management. How a modern caching architecture cuts input token costs by 90% and speeds up LLM inference b...
Highlights from Git 2.55
The open source Git project just released Git 2.55. Here is GitHub’s look at some of the most interesting features and changes introduced since last time.
vLLM + LMCache: A Starter Guide, No GPU Required
Get started easily: a single MacBook is all you need to develop vLLM + LMCacheFor New Contributors · Covering Frontend / L1 Eviction / L2 Storage / Observability If you ever skipped LMCache because you didn’t have a GPU on hand, this guide was written for you. LMCache’s multi-platform framework has already decoupled the GPU […]
Migrating LiteLLM to Rust - Building the Fastest and Litest AI Gateway
LiteLLM is moving its AI gateway to Rust: 15x throughput, 11x less memory, and sub-1ms per-request overhead. No v2, no migration, your config stays the same.
Qwen Studio
Qwen Studio offers comprehensive functionality spanning chatbot, image and video understanding, image generation, document processing, web search integration, tool utilization, and artifacts.
Complete Map of Graph Technology 2026: 128 Products, 7 Categories
The complete guide to graph databases, knowledge graphs, GraphAI, and more. 7 categories, 128 graph technology products, 113 vendors
knowledge-catalog/okf/SPEC.md at main
Google Cloud Knowledge Catalog Tools and Samples. Contribute to GoogleCloudPlatform/knowledge-catalog development by creating an account on GitHub.
Loop Driven Development, in practice
In Loop Driven Development I made an argument: when coding agents do the implementation, the engineering that matters moves to the feedback ...
SkyPilot Sandboxes: Run Agent Code on Your Own Kubernetes, at Scale
SkyPilot runs untrusted, LLM-generated code in sandboxes on the Kubernetes clusters you already own. A single cluster sustains 50,000+ sandboxes, with multi-cluster support to go further. Individual launches in less than a second. All at up to one-tenth the cost of hosted alternatives, with your code and data never leaving your cloud.
Every Agentic Engineering Hack I Know (June 2026)
Three months ago I posted "Every Claude Code Hack I Know." It hit 913K views. @kevinrose had asked what IDE to use, and my answer was: "No I...
Setting Up and Using the Pi Coding Agent
My experience of setting up the Pi coding agent with DeepSeek, installing packages, and using it for side projects and experiments.
How Memory Works in DeerFlow?
mem0 团队深度解析 ByteDance DeerFlow 的记忆系统实现：基于 JSON 的本地存储、置信度评分、异步提取和 2000 token 注入预算
How we build evals for Deep Agents
LangChain 团队分享 Deep Agents 的评估方法论：如何设计、分类和运行 Agent 能力评估
We broke the frontier in agent memory: Introducing ~99% SOTA memory system.
Supermemory 团队发布 ASMR (Agentic Search and Memory Retrieval) 技术，在 LongMemEval 基准测试达到 ~99% 准确率，无需向量数据库或嵌入