Bitget Upgrades Agent Hub with AI Trading Tools, Introduces Skills and CLI for Automated Strategy Execution

6 hour ago 3 sources neutral

Key takeaways:

  • Bitget's AI infrastructure push signals a strategic bet on automated trading driving future exchange volume growth.
  • Enhanced developer tools could accelerate institutional adoption by bridging AI models with real-time execution.
  • Watch for competing exchanges to respond with similar AI integrations, potentially creating a new market standard.

Cryptocurrency exchange Bitget has announced a significant upgrade to its Agent Hub platform, introducing two new components designed to enhance AI-driven trading and automated strategy execution. The update adds Skills modules and a command-line interface (CLI), expanding the infrastructure available to developers building trading applications powered by artificial intelligence.

According to the company, this upgrade completes a comprehensive toolset that connects AI models, developer tools, and the exchange's trading systems. The system now integrates multiple layers of access, including the Model Context Protocol (MCP), REST and WebSocket APIs, Skills modules, and the CLI interface. The primary goal is to simplify the process of connecting AI models to real trading environments.

The new Skills mechanism allows AI agents to interpret trading instructions and trigger actions directly through Bitget's infrastructure. Agents integrated with development tools like Claude Code or OpenClaw can process user prompts, convert them into trading logic, and execute tasks through the exchange's trading system. Through a utility called bgc, the platform exposes exchange functions through standardized JSON outputs, simplifying integration with scripts, data pipelines, and automated workflows used by AI-driven systems.

Following this upgrade, Agent Hub now includes nine primary capability modules and 58 developer tools. Developers can connect the platform to AI frameworks such as OpenClaw through a short configuration process. Once integrated, AI agents gain access to functions including spot and derivatives trading, account management, asset monitoring, and portfolio data. These tools enable automated systems to monitor market conditions, evaluate strategies, and place trades through the exchange.

Bitget CEO Gracy Chen emphasized the strategic importance of AI-driven trading tools, stating: "As one of the core strategic focuses this year, AI is the tool to translate intent into execution with speed and clarity. With AI, our mission is to enable 125 million users and beyond trade like Wall Street pros. With this, we provide the broadest functional coverage and security amongst major exchanges. While AI trading still requires more education and trust, the inflection point for it is approaching."

The exchange describes Agent Hub as a unified entry point for AI trading applications, designed to support the full process from natural-language instructions to strategy execution and order placement. The platform aims to serve both developers building trading tools and AI agents operating automated trading systems on the exchange.

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