Deep Agents v0.6 brings Delta channels, reducing checkpoint storage by up to 100x for long-running agents, without sacrificing observability or resilience. Here’s a 200-turn coding agent session.
Without Delta Channels: 5.3GB of checkpoint storage
With Delta Channels: 129mb
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Deep Agents v0.6 Introduces Delta Channels for 100x Checkpoint Storage Reduction
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Run your personal AI company with Alook’s AI agent team
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Run your personal AI company with a team of AI agents! Alook is an open-source collaboration platform for AI coding agents. Self-hosted and local-first. The setup: Define an org structure. Give each agent a role – dev, ops, research, whatever you need. Set reporting lines.
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TRIBE v2: Meta’s Trimodal Brain Encoder Creates Neural Digital Twins
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Meet TRIBE v2: A Trimodal Brain Encoder Creating #Digital Twins of Neural Activity
— Ronald van Loon (@Ronald_vanLoon) 27 mai 2026
by @AIatMeta
#NeuralNetworks #FutureTech #Innovation #DeepLearning #AI pic.twitter.com/nXueGRFIxTMeet TRIBE v2: A Trimodal Brain Encoder Creating #Digital Twins of Neural Activity
by @AIatMeta #NeuralNetworks #FutureTech #Innovation #DeepLearning #AI -
Alook: Open-Source AI Agent Team Orchestration Platform
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Alook launched an open-source platform that lets a single person run an organized team of AI agents, with defined roles, reporting lines, and real email coordination between agents.
— 🚨 AI News | TestingCatalog (@testingcatalog) 27 mai 2026
Close the screen and terminal, the agents keep running, and the work lands in your inbox. pic.twitter.com/zkmRiyidSoAlook launched an open-source platform that lets a single person run an organized team of AI agents, with defined roles, reporting lines, and real email coordination between agents. Close the screen and terminal, the agents keep running, and the work lands in your inbox.
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Open-Source Avatars Level Up with AVTR-1 Locally
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OPEN-SOURCE AVATARS JUST LEVELED UP@avaturn_me just open-sourced AVTR-1, and the tech is pretty wild.
— Charly Wargnier (@DataChaz) 27 mai 2026
> clone the repo
> download the weights
> then run a conversational avatar locally on your machine at almost zero cost 🔥
repo + weights + demo links below 🧵↓ https://t.co/IbrBKsDFylOPEN-SOURCE AVATARS JUST LEVELED UP @avaturn_me just open-sourced AVTR-1, and the tech is pretty wild. > clone the repo
> download the weights
> then run a conversational avatar locally on your machine at almost zero cost repo + weights + demo links below ↓ -
Claude Features Enable AI Integration into Real Workflows
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Claude is more than a chatbot • Projects → persistent context
• Artifacts → live outputs
• MCP → external tools
• Connectors → enterprise knowledge
• Rules → operational consistency AI becomes powerful when connected to real workflows. Via Giuliano Liguori -
Codex allocates 2% context, warns when adding skills
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Problem is that codex gives me 2% of my context so random stuff adding skills gives me warning messages.
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Claude Code Harness: Fixing AI Coding Session Breakdowns
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You won't run Claude Code the same way after this. AI coding sessions often fall apart the same way. You ask for a feature, nine files get edited, something silently breaks. Claude Code Harness wraps the model in a real delivery loop. It forces a strict cycle before any
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Topview Canvas: AI Video Memory and Agent-Powered Frame Generation
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AI video has a memory problem. You generate, it forgets, you start over.
— AI Highlight (@AIHighlight) 27 mai 2026
Topview Canvas gives it a memory. Every scene lives on an infinite canvas where you can see it, move it, fix it before anything renders.
GPT-Image 2 builds the frames, an AI agent sharpens them, Seedance… https://t.co/8lLR7mfZP9 pic.twitter.com/E0qYsttbhAAI video has a memory problem. You generate, it forgets, you start over. Topview Canvas gives it a memory. Every scene lives on an infinite canvas where you can see it, move it, fix it before anything renders. GPT-Image 2 builds the frames, an AI agent sharpens them, Seedance
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Top AI News: AGI, Bias, Tools, and Industry Insights
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Top stories in AI today: – Exclusive interview with Demis Hassabis on AGI
– Jensen Huang pushes back on ‘AI-proof’ subjects
– Build a weekly marketing report that runs itself
– Stanford finds clear racial bias in AI hiring
– 4 new AI tools, community workflows, and more