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Bitget launches the AI strategy workflow GetAgent Playbook, supporting one-click access to the strategy library

Bitget officially launched the AI trading strategy workflow layer GetAgent Playbook, marking the first time the Agent Harness framework is available to users. Users can select, preview, configure, and launch AI trading strategies from the Agent Playbook strategy library without having to write prompts themselves, all running in an isolated sub-account with auditable operations and transparent processes. Currently, this feature is available to GetAgent Plus and Pro users.Bitget CEO Gracy Chen stated that AI trading is evolving from Q&A to workflows, with prompt configuration being the biggest source of complexity. The Playbook allows users to easily transform trading ideas into Agent runnable and adjustable strategies through a ready-to-use strategy library (Agent Playbook).As of now, Bitget's AI trading tools have attracted over 1 million users, with a cumulative trading volume exceeding $1.2 billion. The Agent Hub covers 9 major modules and 57 tools, supporting read-only mode, simulated trading environments, and Agent exclusive sub-accounts, completely isolating agent operational permissions from the main account, and integrating the entire business chain of spot trading, contracts, copy trading, and wealth management, while exclusively supporting trading of tokenized assets in the US stock market.

DGrid AI launches the AI agent platform DClaw, helping users build their personal local AI assistant with one click

AI infrastructure service provider DGrid officially launched its core product DClaw ------ a one-click personal AI agent deployment platform specifically designed for the DGrid ecosystem, aimed at significantly lowering the participation threshold for the open agent economy, providing out-of-the-box personal local AI assistants for individuals, developers, teams, and various communities.According to the official introduction, compared to the open-source framework OpenClaw, DClaw has achieved a comprehensive product upgrade. It focuses on true one-click agent deployment capabilities, compressing the technical configuration process that originally took hours into minutes; it natively integrates DGrid's unified model access API, allowing immediate access to top global models such as GPT-5.4, Claude Opus 4.6, Kimi K2.5 without the need for additional API key configuration; at the same time, it natively adapts to mainstream office and communication platforms such as WeChat, WeChat Work, DingTalk, and Telegram, enabling a single agent to operate uniformly across different environments.In addition, DClaw features a user-controlled persistent memory system and a hot-swappable modular skill plugin ecosystem, supporting multi-agent collaborative work to meet automation execution needs across various scenarios. Each DClaw instance can serve as an intelligent node in the DGrid network, achieving a deep integration of personal usage value and open ecosystem construction.Currently, DClaw has officially launched, allowing users to quickly build their own personal AI agents and participate in the construction of the DGrid open agent economy ecosystem.
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