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Bitget Upgrades Agent Hub With Skills and CLI Modules for AI-Powered Trading

Crypto exchange Bitget has expanded its Agent Hub infrastructure with Skills modules and a CLI interface, bringing the platform to 9 modules and 58 tools for AI trading.

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CoinJP Editorial
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CoinJP Editorial · 0 articles

Bitget Expands AI Trading Infrastructure

Cryptocurrency exchange Bitget has rolled out a significant upgrade to Agent Hub, its developer-focused infrastructure for AI-powered trading. The update introduces Skills modules and a command-line interface (CLI), completing the platform's full interaction stack.

These additions build on the Model Context Protocol (MCP) and REST/WebSocket API support that launched in February 2026. Together, all components form a comprehensive framework connecting AI models, developer tools, and real trade execution.

According to the company's press release, MCP, API, Skills, and CLI collectively create a complete infrastructure that bridges artificial intelligence models, developer tooling, and actual order execution.

Why This Matters

The integration of AI agents into trading workflows is emerging as a major trend among crypto exchanges in 2026. A full-stack toolkit enables developers to rapidly build and deploy automated trading solutions. For end users, this translates into access to sophisticated strategies without requiring deep technical expertise.

Bitget, which serves over 125 million users, views AI infrastructure as the primary vehicle for making professional-grade trading accessible to a mass audience.

What the Updated Agent Hub Offers

The Skills module enables AI agents — including Claude Code and OpenClaw — to interpret users' trading intentions and execute actions through the bgc utility. This utility provides API access with standardized JSON output, significantly simplifying integration with scripts and agent workflows.

Following the upgrade, Agent Hub now comprises 9 modules and 58 tools. Developers can connect the platform to OpenClaw in just three minutes.

Through Agent Hub, AI agents gain access to:

  • Real-time market data
  • Spot and futures trading
  • Account and asset management

Bitget Leadership on AI Strategy

Bitget CEO Gracy Chen identified artificial intelligence as one of the company's key strategic priorities this year. She stated that Bitget aims to give its 125 million-plus users the ability to trade at the level of Wall Street professionals. Chen acknowledged that while such trading demands greater knowledge and trust, the tipping point is fast approaching.

In a related move, Bitget recently introduced a group-based maker fee structure for spot and futures trading pairs. That update was designed to deepen order book liquidity and improve trade execution quality.

agent hubaiai tradingbitgetcentralized exchangeopenclawtrading infrastructure

Frequently Asked Questions

What is Bitget Agent Hub?

Agent Hub is Bitget's developer-oriented infrastructure platform for AI-powered trading. After the latest upgrade, it features 9 modules and 58 tools providing access to real-time market data, spot and futures trading, and account management.

How long does it take to connect Agent Hub to OpenClaw?

According to Bitget's press release, developers can connect the platform to OpenClaw in just three minutes. This rapid integration is enabled by the new Skills modules and CLI interface.

What are the new features in the Agent Hub update?

The update introduces Skills modules and a command-line interface (CLI), complementing the previously launched MCP and REST/WebSocket API support. The platform now totals 9 modules and 58 tools for AI agent interaction.

What can AI agents do through Bitget Agent Hub?

AI agents like Claude Code and OpenClaw can interpret trading intentions and execute actions via the bgc utility. They gain access to real-time market data, spot and futures trading, and account and asset management.

How many users does Bitget have?

Bitget CEO Gracy Chen stated that the exchange serves over 125 million users. The company aims to provide them with Wall Street-level trading capabilities through artificial intelligence tools.

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