Moonshot AI Launches Kimi Claw | WebMCP, MiniCPM-SALA......

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Moonshot AI has launched Kimi Claw, transitioning the OpenClaw framework into a native, 24/7 browser-based power tool on kimi.com. This update introduces ClawHub, a library featuring over 5,000 community-developed skills that engineers can chain instantly to build complex agentic workflows. To support data-heavy applications and RAG operations, the platform provides a massive 40GB of cloud storage and Pro-Grade Search capabilities for fetching live data from sources like Yahoo Finance. Developers can further customize their experience through the "Bring Your Own Claw" (BYOC) feature, which allows for bridging third-party setups directly to apps like Telegram for seamless, automated group interactions...… Read the full analysis/article here.

Google DeepMind's proposed framework for intelligent AI delegation seeks to replace brittle, heuristic-based task management with a robust, adaptive system grounded in human organizational principles like authority, responsibility, and accountability. The framework establishes 5 key pillars—dynamic assessment, adaptive execution, structural transparency, scalable market coordination, and systemic resilience—to ensure that agentic interactions are both verifiable and safe at web-scale. By implementing "contract-first" task decomposition, delegators ensure that every sub-task is inherently verifiable through formal logic or unit tests before allocation. This approach introduces transitive accountability across complex delegation chains and utilizes attenuated security measures, such as Delegation Capability Tokens, to enforce the principle of least privilege. Ultimately, the framework aims to maintain meaningful human control and prevent skill degradation through curriculum-aware task routing, ensuring AI remains a force multiplier for collective human agency rather than an opaque source of systemic risk...… Read the full analysis/article here.

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▶ A Coding Implementation to Design a Stateful Tutor Agent with Long-Term Memory, Semantic Recall, and Adaptive Practice Generation Codes Tutorial

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▶ How to Build a Production-Grade Agentic AI System with Hybrid Retrieval, Provenance-First Citations, Repair Loops, and Episodic Memory Codes Tutorial

150+ more open codes/notebooks here ➡️