August 4, 2025
5 min read
Decrypt / Jason Nelson
OpenLedger’s AI crypto agent requires user approval before trading, ensuring transparency, privacy, and safer AI-driven crypto decisions.
OpenLedger’s Crypto AI Agent Prioritizes Safety and User Control Over Speed
While most crypto bots rush into trades without a second thought, San Francisco–based OpenLedger is slamming on the brakes. Its new AI agent won’t execute a single transaction until the user explicitly signs off, bringing humans back into the loop of automated trading. That matters, the company argues, because speed without context can spell disaster. OpenLedger’s approach balances rapid execution with real-time adaptability and full transparency. Traders set their risk limits and review every recommendation before it goes live, ensuring the AI never becomes a black box. “People need to understand why a trade is happening, not just watch their balance change,” OpenLedger core contributor Kamesh told Decrypt. Once launched, OpenLedger’s agent will live inside Trust Wallet and communicate in plain English. It can summarize positions, flag unusual activity, and suggest strategies. According to Kamesh, while AI can be a powerful tool, it shouldn’t remove humans from decisions. “The AI doesn’t need signing authority to be useful,” he said. “Think of it like a smart co-pilot—you’re still flying the plane.” That restraint is by design, Kamesh said. Users define their parameters—risk thresholds, network preferences, and data-sharing settings—before the agent ever makes a move. All prompts and context stay on the device by default, so private keys and transaction histories never leave your phone. To keep every decision traceable, OpenLedger uses a Proof of Attribution framework. Each suggested action links back to its data sources and AI model version, so users can audit why a trade was recommended. If the data trail is incomplete, the agent simply won’t proceed. “We prioritize privacy, so nothing is stored in the cloud unless explicitly needed for functionality, and even then, it's anonymized and never linked to your wallet or identity,” Kamesh said. OpenLedger will introduce the agent in Trust Wallet in October, starting with a pilot for a few hundred users. Wider access will follow early next year. The OpenLedger AI launch comes amid a boom in crypto of AI-powered tools. The sector’s market cap hit $5.7 billion in July, according to CoinGecko, as developers race to bring AI onto DeFi platforms. OpenLedger isn’t alone in bringing AI to wallets. In July, Base, the newly rebranded wallet app by Coinbase, announced an AI feature that lets users trade and send crypto using natural language prompts. The rush to add AI to crypto transactions has, however, also raised concerns about “hallucinations,” or inaccurate outputs that can lead to financial losses. In May, researchers at Princeton University showed how memory-based manipulation attacks could trick crypto AI agents into approving unauthorized transactions. OpenLedger says its system is built to resist that kind of exploit. “You don’t have to trust what the AI says blindly,” Kamesh said. “You can trace the logic, the data behind its decision, and even who contributed that data. If the source can’t be traced, the agent doesn’t act.”Frequently Asked Questions (FAQ)
OpenLedger AI Agent Functionality
Q: How does OpenLedger's AI agent differ from other crypto bots? A: Unlike many crypto bots that prioritize speed, OpenLedger's AI agent emphasizes safety and user control by requiring explicit user sign-off before executing any transaction. Q: What level of control do users have over the AI agent's actions? A: Users have significant control. They set their risk limits, review every recommendation, and can audit the logic and data sources behind any suggested trade. Q: In what ways will OpenLedger's AI agent be integrated with Trust Wallet? A: The AI agent will live inside Trust Wallet and will communicate with users in plain English, allowing it to summarize positions, flag unusual activity, and suggest trading strategies. Q: What is the "Proof of Attribution" framework used by OpenLedger? A: This framework ensures traceability by linking each suggested action back to its data sources and the specific AI model version used, allowing users to verify the decision-making process.Security and Privacy
Q: How does OpenLedger ensure the privacy of its users? A: Prompts and context are kept on the user's device by default, meaning private keys and transaction histories never leave the phone. Cloud storage is only used when explicitly needed for functionality, and such data is anonymized and never linked to a user's identity. Q: What measures are in place to prevent AI "hallucinations" or faulty recommendations? A: OpenLedger's system is designed to resist exploits. Users can trace the logic and data behind AI decisions, and the agent will not proceed if the data trail is incomplete or untraceable.Availability and Rollout
Q: When will OpenLedger's AI agent be available? A: The agent will be introduced in Trust Wallet in October, initially with a pilot program for a limited number of users, with wider access planned for early next year.Crypto Market AI's Take
OpenLedger's strategic focus on user control and transparent decision-making for its AI crypto agent aligns with the growing demand for responsible and understandable AI in finance. While the broader crypto market sees a surge in AI-powered tools, OpenLedger's approach of keeping the human in the loop is a critical differentiator. This "smart co-pilot" model not only mitigates risks associated with AI "hallucinations" but also empowers users to understand and trust the automated processes. Such a user-centric design is essential for fostering confidence in AI-driven trading, especially given concerns about AI vulnerabilities highlighted by research from institutions like Princeton University. Our platform, Crypto Market AI, also focuses on providing transparent market intelligence and AI-driven insights, aiming to educate and equip users with the tools they need to navigate the crypto landscape safely and effectively.More to Read:
- AI-Driven Crypto Trading Tools Reshape Market Strategies in 2025
- Understanding AI Agents: Capabilities, Risks, and Their Growing Role
- How to Use Google Gemini for Smarter Crypto Trading