After many days of hard work to ship our closed alpha, today the entire Zap Labs team will take a “break” and just participate in hackathons and hack in whatever seems fun. Will share the outcomes of it later :)

Making AI Agents Work: What are the key problems, and how can we overcome them? Despite the buzz, truly functional AI agents aren't quite here yet. Let's dive into the challenges and best practices.

Every Zap agent now runs in its own dedicated Linux environment. This means every open-source model from Hyperbolic and privacy-focused model from @nillionnetwork (with some fine tuning) can get its own isolated machine. Excited to building the future of decentralized

🚨 90% of enterprise data is INVISIBLE to AI systems—trapped in unstructured formats your LLMs can't comprehend. Without transformation, your AI investments are building on quicksand. The most overlooked success factor in AI? Data architecture, not model size. #AITransformation

Just created an Open-Source MCP that gives you RAG access to x402’s: - Docs - Whitepaper - GitHub code Link👇

We evolve. Introducing Yoru: the next chapter in how we build with AI in Web3. Zap was fast, electric, full of energy. But speed alone was never the destination. “Yoru” means night in Japanese — a space for focus, clarity, and quiet intelligence. Yoru is where you shape AI