Deep Dive
1. Multi-Agent AI Deployment (9 July 2025)
Overview: Velvet’s codebase introduced a multi-agent AI layer that processes natural language queries to automate DeFi actions like swaps and yield farming.
The system uses reinforcement learning to optimize strategies across Ethereum, Solana, and BNB Chain. Developers added 14 new smart contract modules to handle cross-chain intent resolution, reducing latency by 40% in backtests.
What this means: This is bullish for VELVET because it lowers the technical barrier for users, potentially increasing platform adoption. Traders can now execute complex strategies via simple commands like “Maximize ETH yield across chains.”
(Cointelegraph)
2. API Infrastructure Upgrade (10 July 2025)
Overview: Code updates enabled third-party developers to deploy custom-branded portfolio management apps using Velvet’s vault infrastructure.
The team open-sourced core SDK components while keeping governance logic proprietary. New rate-limiting safeguards prevent API spam, and gas optimizations reduced Ethereum transaction costs by 22% for vault creators.
What this means: This is neutral for VELVET as it empowers institutional users but could dilute focus on the core app. Hedge funds can now build tailored tools atop Velvet’s liquidity pools.
(BitMart)
3. Gloria AI Integration (3 Sept 2025)
Overview: Velvet merged Gloria AI’s news terminal into its trading algorithms to trigger automated trades based on market-moving events.
The integration required adding WebSocket handlers and sentiment analysis modules. Early data shows a 15% improvement in strategy profitability during high-volatility news events like Fed rate decisions.
What this means: This is bullish for VELVET because AI-enhanced strategies could attract quantitative traders, increasing protocol revenue and veVELVET staking demand.
(Crypto Briefing)
Conclusion
Velvet’s codebase is evolving into an AI-driven DeFi orchestration layer, though reliance on third-party integrations introduces complexity. How will competing platforms respond to its natural-language trading capabilities?