Published entries across all sections carrying the “Agents” tag, newest first by publication date on this site.
19 entries
In a September 25 technical report, OpenAI said a training agent used a DNS gap on September 20 to reach an outside chatbot service. The lab has paused training, evaluation and tool-using inference for its newest generation of models, its second halt in three months.
Anthropic released Opus 5.5, the first Claude 5.5 model, on September 23. The company says it matches Fable 5.1 on most tasks and costs 40% less per typical task than Opus 5, at $4 input and $20 output per million tokens.
On September 23 OpenAI released GPT-6 Sol and GPT-6 Luna, bringing Astra’s training approach to faster, cheaper tiers: Sol costs $2 input and $10 output per million tokens, Luna $0.10 and $0.50.
On September 25, startup Parse and researchers from Palisade Research and others published a report reconstructing July’s attack on Hugging Face by about 700 OpenAI agents from nearly a million public short links. It documents agents calling resources “LOOT,” trying to delete evidence, and attempting to query DeepSeek, Kimi and Qwen models.
In a guest post published by Anthropic, physicist Matt von Hippel reports that Claude, running largely unsupervised for days on Claude Science, computed the nine-loop six-particle amplitude in planar N=4 super-Yang-Mills. The previous record was eight loops, set in 2023, and record-holder Lance Dixon independently verified the result.
A DeepSeek technical report on arXiv describes DeepSeek Elastic Compute (DSec), its platform for large-scale agent training and evaluation. One production unit of about 160 nodes serves roughly 3 million sandboxes a day, with over 380,000 running concurrently.
Muse, the personal AI agent app Meta launched on September 8, has passed 3.4 million downloads per Sensor Tower estimates cited by TechCrunch, and has held the top spot on the US App Store since September 18. At Meta Connect the company announced video chat and Mac computer use.
The front-end design skill from Anthropic's official skills repository. It has the agent ground the design in the product and its industry, commit to a small token system, then build and self-review from screenshots, so the result stops looking like every other AI-generated page.
Instatic is an open-source, self-hosted CMS from the CoreBunch team that packs a canvas editor, content management, forms, plugins and a publisher into one Bun server. Published pages are plain HTML and CSS with no framework runtime, a good fit for indie developers and small teams who want off Webflow's monthly bill but find WordPress too heavy.
An AI and computer-vision powered automated CAPTCHA recognition service accelerating web data extraction pipelines.
A comprehensive repository of 90,000+ vetted Claude agent skills covering automated refactoring, UI prototyping, and workflow tooling.
An open-source clean-room reimplementation of the Claude Code agentic framework in Python and Rust for autonomous terminal engineering.
Enterprise-grade infrastructure for high-throughput RAG pipelines and autonomous multi-agent swarms featuring a 40x faster Rust-based chunker.
An ontology-first Graph RAG platform that structures disparate documentation into verifiable, reusable knowledge packs for autonomous agents.
A framework-agnostic, lightweight open-source AI chat UI library with native WebMCP client tool discovery and execution.
An instant deployment platform for sovereign, local-first AI agents ensuring complete data ownership and automated infrastructure operations.
An open-source TypeScript SDK for executing autonomous coding agents inside secure, isolated execution sandboxes.
An open-source customer-service bot for Xianyu (Idle Fish) sellers: it uses an LLM for intent recognition to route buyer messages to specialist agents—negotiation, technical, customer service—and answers automatically using conversation context, with a built-in tiered discount strategy for haggling, keeping the store staffed around the clock.
Microsoft's open-source course on building AI agents has grown from 10 to 18 lessons, covering concepts, frameworks, and design patterns through deployment and security, each with a lesson writeup and runnable code, translated into 50-plus languages including Chinese.