AI Agents & Automation
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Walrus Memory gives AI agents a portable, verifiable memory layer across Claude, ChatGPT, and Gemini
AI agents forget. Close the session and everything the agent learned about you resets to zero. Walrus Memory, launched June 3, is a memory layer built to fix that — agents keep context, share knowledge, and build on past work across sessions, apps, and runtimes. ## How it works Developers wire in two calls: remember… Continue reading
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Alibaba’s Qwen3.7-Plus adds vision and agentic tool use, scoring 79 on ScreenSpot Pro
Qwen3.7-Plus is Alibaba’s entry into the multimodal-agent race. Where Qwen3.7-Max stayed a pure-text flagship, Plus takes images and video as input — understanding them, not generating — and wires that perception into an agent loop that plans, calls tools, writes and tests its own code, then iterates on real execution feedback. ## What it’s built… Continue reading
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Oscilar Agent Hub puts 30+ specialized agents behind fraud, credit, and compliance
Oscilar just shipped Agent Hub, a suite of 30+ AI agents built for one job: risk operations at financial institutions. Fraud, AML compliance, credit, onboarding, sanctions, disputes — each gets its own specialized agent, and they share signals and context with each other in real time instead of running as isolated point tools. ## The… Continue reading
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Perplexity Personal Computer lands on Windows with hybrid on-device and cloud routing
Perplexity is putting an always-on agent straight onto the Windows desktop. You hand it a goal — “build an interactive guide on whales,” “clean up this spreadsheet” — and it decides which apps to open, which files to touch, and how to finish the job across Excel, PowerPoint, Word, Outlook, and OneDrive. ## What it… Continue reading
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Town raised $55M to build an AI assistant that learns how you work
## What it is Town is a personal AI assistant that adapts to you instead of the other way around — your voice, your people, your patterns. It works across email, calendar, docs, and messages, drafting replies, handling your scheduling, and building routines for the work you do over and over. The more it watches… Continue reading
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Hermes is a self-improving AI agent you run on your own server
## What it is Hermes is an autonomous AI agent that lives on your own server and gets more capable the longer it runs — it remembers what it learns across sessions instead of starting cold every time. You reach it from a terminal, from messaging apps, or now through Hermes WebUI, a browser and… Continue reading
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Windows Agent Studio lets you build Windows agents with drag-and-drop or TypeScript
## What it is Microsoft launched Windows Agent Studio in preview at Build 2026 — a tool for building custom agents that run natively on Windows. You get two paths: a visual drag-and-drop canvas for non-coders, or TypeScript for developers who want full control. Agents can reach local files, apps, and sensors when you grant… Continue reading
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NVIDIA Physical AI Agent Tools & Skills (NemoClaw + OpenShell) turn robots and AVs into agent tasks
NVIDIA just open-sourced a big batch of agent skills for Physical AI — and to be clear, this is a software stack, not a chip. The pitch: take the messy pipelines behind robots, self-driving cars, and factory digital twins, and make them executable by any coding agent. What it actually is The core is the… Continue reading
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GitHub Agentic Workflows adds fine-grained agent permissions and end-to-end OpenTelemetry tracing
GitHub Agentic Workflows (gh-aw) — GitHub’s system for running event-triggered and scheduled AI agent jobs in your repos — shipped an update focused on the unglamorous but critical parts: permissions and observability. ## What’s new Claude’s permission mode is now decoupled from bash wildcard access. You set engine.permission-mode explicitly in workflow frontmatter for fine-grained control… Continue reading
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Kore.ai Artemis ships a compiled ‘Agent Blueprint Language’ for governed enterprise multiagent systems
Kore.ai launched Artemis, a new-generation agent platform for building, governing, and optimizing enterprise AI agents. The headline feature is Agent Blueprint Language (ABL) — a compiled, declarative language that standardizes how agents, systems, and workflows are defined, validated, and governed. ## Why “compiled” matters Most agent platforms let you wire up workflows visually or in… Continue reading
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