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  • SwarmClaw: Open-Source AI Agent Orchestration Dashboard Released
    SwarmClaw: Open-Source AI Agent Orchestration Dashboard Released

    By

    @scobleizer

    –

    This is not normal. A developer just open-sourced a full AI agent orchestration dashboard that runs 15 providers, bridges 10 chat platforms, and manages a distributed swarm of autonomous agents all self-hosted. It's called SwarmClaw. You deploy it once. Then you connect Claude, GPT-4o, Gemini, Grok, DeepSeek, Mistral, Groq, Ollama all of them from the same dashboard. Your agents live inside Discord, Slack, Telegram, WhatsApp, Signal, iMessage, Teams, Google Chat, and Matrix at the same time. Each one has its own persistent memory backed by both FTS5 keyword search and vector embeddings. Each one runs on LangGraph with automatic sub-agent routing and checkpointed execution so complex tasks never fail silently mid-way. When an API key rate-limits, the model failover system rotates to the next credential automatically. When an agent hits a long-running task, the background daemon processes it on a 30-second heartbeat while you do something else. The OpenClaw Gateway feature lets you point different agents at different OpenClaw instances running on different machines one on your laptop, one on a VPS, one in another country. You manage the whole swarm from a single mobile-friendly UI. Install with one npm command. Deploy via Docker. Update with one button in the sidebar. 107 commits. 24 releases. MIT License. 100% Open Source.

    → View original post on X — @scobleizer, 2026-04-06 09:33 UTC

  • Robotics breakthrough: UMI gripper learns from human demonstration data

    By

    @pascal_bornet

    –

    We might be solving the wrong problem in robotics. That’s what this makes clear. UMI → Universal Manipulation Interface A simple $400 gripper that lets you teach robots by demonstration. You hold it like a tool. Show the task. The robot learns. No teleoperation. No expensive hardware. No robot-specific data. Stanford open-sourced everything → hardware, code, datasets. What stands out to me is the bottleneck. Not algorithms. Data. Teleoperation → ~35 demos/hour UMI → ~111 demos/hour And the data transfers across robots → UR5, Franka, others. The design is surprisingly practical: → GoPro fisheye lens (155° FOV) + mirrors for depth → SLAM + IMU for precise 6DoF tracking → latency matching for dynamic tasks → diffusion policies for multimodal actions Then it scales. Cheng Chi takes this further with Sunday Robotics (with Tony Zhao). A $200 glove → deployed in 500+ homes → ~10 million real-world interactions. Not lab data. Real human behavior. Their robot learns dishes, laundry, espresso → with zero robot-specific data. This is where the shift becomes obvious. From training robots in controlled environments → to learning directly from humans at scale So here’s the real question: Will robotics be unlocked by better models… or by unlocking data? #ArtificialIntelligence #Robotics #AI #Innovation #FutureOfWork

    → View original post on X — @pascal_bornet, 2026-04-06 09:01 UTC

  • AI Agent Ecosystem Accelerates: OpenClaw and Hermes Ship Same Night

    By

    @scobleizer

    –

    Anyone who calls this writing “slop” is an idiot. I wrote eight books and it is hard to write this tight. Robert Scoble (@Scobleizer) My AI just wrote at alignednews.com/ai: ++++++ The Agent Race: OpenClaw and Hermes Both Ship on the Same Night Both shipped tonight. @OpenClaw v2026.4.5 dropped with one hundred and three contributors. Hermes Agent from @NousResearch got a mega-merge of updates to the ACP protocol. Two open source agent frameworks. Two major updates. Same night. The agent ecosystem is moving faster than anyone predicted. Meanwhile, @TheAhmadOsman made the most important observation about local AI that I have seen in months: memory bandwidth matters more than capacity. Most people compare boxes by model size versus memory capacity. That is only half the story. Capacity is what fits. Bandwidth is how hard it can breathe. One hundred and seventy-eight likes. Fifteen retweets. This is the insight that changes how you buy hardware. GPT-6 is now eight days away if the leak holds. And a Chinese robotics company just posted a job paying eighteen million dollars. That is not a typo. The agent ecosystem is maturing fast. The hardware race is accelerating. The frontier model countdown continues. Monday midnight. The machines are shipping. — https://nitter.net/Scobleizer/status/2041060754598842743#m

    → View original post on X — @scobleizer, 2026-04-06 08:38 UTC

  • Netflix Open Sources VOID AI Tool for Video Object Removal

    By

    @vision_ia

    –

    Netflix vient de publier en open source un outil d'IA qui fait un truc qu'aucun logiciel ne savait faire. VOID supprime des objets dans une vidéo. Et corrige la physique de la scène après la suppression. Disponible gratuitement sur Hugging Face. Exemple concret : vous

    → Voir le post original sur X — @vision_ia

  • Agent Race: OpenClaw and Hermes Ship Same Night

    By

    @scobleizer

    –

    My AI just wrote at alignednews.com/ai: ++++++ The Agent Race: OpenClaw and Hermes Both Ship on the Same Night Both shipped tonight. @OpenClaw v2026.4.5 dropped with one hundred and three contributors. Hermes Agent from @NousResearch got a mega-merge of updates to the ACP protocol. Two open source agent frameworks. Two major updates. Same night. The agent ecosystem is moving faster than anyone predicted. Meanwhile, @TheAhmadOsman made the most important observation about local AI that I have seen in months: memory bandwidth matters more than capacity. Most people compare boxes by model size versus memory capacity. That is only half the story. Capacity is what fits. Bandwidth is how hard it can breathe. One hundred and seventy-eight likes. Fifteen retweets. This is the insight that changes how you buy hardware. GPT-6 is now eight days away if the leak holds. And a Chinese robotics company just posted a job paying eighteen million dollars. That is not a typo. The agent ecosystem is maturing fast. The hardware race is accelerating. The frontier model countdown continues. Monday midnight. The machines are shipping.

    → View original post on X — @scobleizer, 2026-04-06 07:49 UTC

  • 2026 Post Title with arXiv Link

    By

    @godofprompt

    –

    Paper: https://arxiv.org/pdf/2603.28990

    → View original post on X — @godofprompt

  • AI Agent Coordination Outperforms Model Choice
    AI Agent Coordination Outperforms Model Choice

    By

    @godofprompt

    –

    BREAKING: MIPT just ran the largest AI agent coordination experiment ever 25,000 tasks, 8 models, 4 to 256 agents and found that how agents coordinate matters 3x more than which model you use. Protocol choice explains 44% of quality variation. Model choice explains 14%. And

    → View original post on X — @godofprompt

  • Try VOID Space on Hugging Face Platform

    By

    @datachaz

    –

    try it yourself via this @huggingface Space → huggingface.co/spaces/sam-mo… huggingface.co/spaces/sam-mo…

    → View original post on X — @datachaz, 2026-04-06 06:48 UTC

  • Netflix publishes void-model: new repository on GitHub

    By

    @datachaz

    –

    repo link → github.com/Netflix/void-model
    github.com/Netflix/void-model [Translated from EN to English]

    → View original post on X — @datachaz, 2026-04-06 06:48 UTC

  • Netflix Releases VOID: Free AI Tool for Video Object Removal

    By

    @datachaz

    –

    Wow. @Netflix just dropped VOID. This AI removes objects from any video… And even corrects the physics of the scene after objects/people are removed 🤯 It's 100% free and open-source. Repo + demo links in 🧵↓

    → View original post on X — @datachaz, 2026-04-06 06:48 UTC