Glean Prompt Library! @glean Glean’s platform seamlessly integrates with a wide array of enterprise systems such as email, intranet, cloud storage, and database by providing a powerful, unified search interface with AI Agents that effortlessly retrieves information from all
AGENTS
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Hooks support and extensibility framework coming to Codex
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Hooks support is coming to the Codex app as well! > Hooks are an extensibility framework for Codex. They allow you to inject your own scripts into the agentic loop.
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Anthropic Introduces Managed Agents Feature for Claude
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In the future, you’ll be able to accomplish a goal by just giving Claude an outcome and a budget.
— Dan Shipper 📧 (@danshipper) 8 mai 2026
That’s the direction Anthropic is building in with its new Managed Agents features, announced at this week’s Code with Claude developer event. The basic idea: Claude, wrapped in a… pic.twitter.com/zmKaR99GdjIn the future, you’ll be able to accomplish a goal by just giving Claude an outcome and a budget. That’s the direction Anthropic is building in with its new Managed Agents features, announced at this week’s Code with Claude developer event. The basic idea: Claude, wrapped in a
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Architecting Infrastructure for Long-Horizon AI Agents
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Join our live session and learn: How to think about the agent harness vs. the runtime layer underneath it What infrastructure long-horizon agents need for durable, stateful execution How to plan for memory, recovery, human intervention, observability, and scale Why
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Technical Production Requirements for Long-Horizon AI Agents
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Long-horizon agents introduce production requirements that short-running agents don’t: durable execution, state management, recovery, memory, observability, and human oversight. On May 28th, join @sydneyrunkle for a live session on The Runtime Behind Production Long-Horizon
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DeepMind AI scores 48% on research-level math problems
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DeepMind's AI co-mathematician scored 48% on FrontierMath Tier 4-research-level math problems that professional mathematicians need weeks to solve. The base model (Gemini 3.1 Pro) scores 19% alone. The entire jump comes from agentic scaffolding, parallel agents reviewing each
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Hardening agentic stacks against reasoning and tool parsing drift
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Most agentic stacks run into the same problems pretty quickly: reasoning and tool parsing drift across turns, KV cache reuse falls apart, or tools fire too late. We’ve been hardening Dynamo’s harness-facing path so @Claudeai Code, @OpenClaw
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Arcade’s Multi-User AI Agents for System Automation
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@TryArcade is rejoining us at Interrupt! Stop by their booth during the show and see how you can ship multi-user agents that take actions across any system, with security and control built in. -
ClickUp launches Brain² with advanced AI models
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ClickUp has launched Brain², which automatically wires in your company's projects, org setup, and decisions as context for any frontier model you choose.
— 🚨 AI News | TestingCatalog (@testingcatalog) 8 mai 2026
It allows you to pick models like Claude 4.7, GPT 5.5, or Gemini 3.1, and Brain compresses everything your team knows before… pic.twitter.com/CTTGgrUPVrClickUp has launched Brain², which automatically wires in your company's projects, org setup, and decisions as context for any frontier model you choose. It allows you to pick models like Claude 4.7, GPT 5.5, or Gemini 3.1, and Brain compresses everything your team knows before
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Using Agent Swarms with Advanced AI Models to Build Software
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🚨 BREAKING – Use Agent Swarms To Build Complex Software Systems
— Abacus.AI (@abacusai) 8 mai 2026
Use
– Opus 4.7
– GPT 5.5 Thinking and
– Gemini 3.1
combined into an Agent Swarm to build complex full-stack software products
Stop paying for CRMs and SaaS, Just create custom software tailored for your… pic.twitter.com/fGVkGiLceEBREAKING – Use Agent Swarms To Build Complex Software Systems Use
– Opus 4.7
– GPT 5.5 Thinking and – Gemini 3.1 combined into an Agent Swarm to build complex full-stack software products Stop paying for CRMs and SaaS, Just create custom software tailored for your