Bitget is accelerating its push to turn automated trading tools into genuine “co-pilots” for users — not just utilities for institutions — by expanding an AI-native ecosystem that spans retail traders, developers and institutional partners.
Unveiled at Bitget’s Obsidian Night event, the plan centers on bolstering two core products — Agent Hub and GetClaw — and folding them into the exchange’s Universal Exchange (UEX) architecture so AI agents can trade across crypto and tokenized traditional assets in real time.
Why it matters
- Bitget frames this as a democratization move: its AI stack is designed to narrow the gap between professional traders and ordinary users by giving everyday traders access to agent-driven execution and strategy capabilities.
- The infrastructure is built for scale. The company says it’s preparing to host many AI agents trading on behalf of users, and has designed account and execution models to keep that activity transparent and controlled.
What’s under the hood
- Agent Hub now links AI models directly to live markets through a unified pipeline Bitget describes as “MCP + API + Skills + CLI” — Model Context Protocol plus REST/WebSocket APIs, modular Skills and a CLI layer. That pipeline is intended to bridge model context, developer tools and real trade execution in a single environment.
- GetClaw is Bitget’s AI trading assistant that can translate plain-language instructions into executable strategies, monitor markets and manage positions in real time using a dedicated AI account structure that separates agent activity from user-controlled assets.
Leadership and product direction
- CEO Gracy Chen emphasized the strategic vision: “Sooner or later emerging financial markets are going to be filled with AI agents trading on behalf of users. We’re preparing the infrastructure to run this on scale.” Bitget says the dedicated GetClaw accounts help preserve execution transparency while segregating agent-driven trading.
- The company is also building “Gracy AI,” a digital assistant modeled on Chen’s decision-making style. Unlike price-prediction bots, Gracy AI focuses on market cycles, strategy framing and risk management — a conceptual anchor for the UEX roadmap.
Ecosystem and developer push
- Bitget plans a major developer outreach in Q2 2026: what it calls the world’s first AI trading hackathon, technical resources for developers, practical AI trading tutorials with creators, and B-end cooperation so projects and tool vendors can integrate into its ecosystem. This expands earlier hackathon work with partners such as Solana.
Business momentum and prior AI moves
- The announcement arrives amid reported growth: Bitget said its Bitcoin reserves rose 86% year-on-year in February 2026, and it has seen triple-digit spot-volume expansion in prior quarters — metrics it highlights to show it has the capacity to fund AI-heavy infrastructure.
- Bitget has already rolled out related AI features: an earlier GetAgent assistant bundled 50+ trading tools (market insights, social sentiment, etc.) and drew a launch waitlist of about 25,000 users. The exchange has also introduced AI-driven token analysis in Bitget Wallet and previously co-hosted hackathons with Solana’s ecosystem.
- The firm ties its AI and infrastructure build to broader growth moves such as securing full licensing in El Salvador and cutting order-processing latency by up to 40% under its UEX pivot.
Bottom line
Bitget’s latest push signals a bet that trading will increasingly be a human-plus-AI collaboration. By building an integrated pipeline, developer tools, and dedicated account structures, the exchange aims to move automated strategies from standalone bots into collaborative “co-pilots” that ordinary traders can use safely and scalably.
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