In a Market Obsessed With Speed, This Crypto AI Agent Wants You to Slow Down

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.”

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Frequently Asked Questions (FAQ)

What is the main philosophy behind OpenLedger's AI agent?

The core philosophy is to balance the speed and efficiency of AI with human oversight, ensuring transparency and user control in automated trading. It emphasizes understanding the "why" behind a trade rather than just the execution.

How does OpenLedger ensure transparency in its AI agent's recommendations?

OpenLedger utilizes a Proof of Attribution framework, linking each suggested action to its data sources and AI model version, allowing users to audit the decision-making process. If the data trail is incomplete, the agent will not proceed.

What are the privacy features of OpenLedger's AI agent?

All prompts and context remain on the user's device by default, meaning private keys and transaction histories do not leave the phone. Cloud storage is only used for anonymized data when strictly necessary for functionality.

How does OpenLedger's AI agent differ from other crypto AI tools?

Unlike bots that execute trades automatically, OpenLedger's agent requires explicit user sign-off before any transaction, acting more like a "smart co-pilot" than an autonomous trader.

What are the potential risks associated with AI in crypto trading that OpenLedger's approach addresses?

OpenLedger aims to mitigate risks like "hallucinations" (inaccurate AI outputs) and vulnerability to manipulation attacks by ensuring user consent for every trade and maintaining full traceability of AI recommendations.

Crypto Market AI's Take

The introduction of AI agents like OpenLedger's signifies a crucial evolution in the cryptocurrency trading landscape. As the market grapples with the speed and potential inaccuracies of purely automated systems, a human-in-the-loop approach, prioritizing transparency and user control, is a welcome development. This focus on understanding the rationale behind AI-driven suggestions aligns with our own commitment to providing users with the tools and insights needed for informed decision-making. Explore our AI Agents section for more on how AI is reshaping financial markets and our approach to responsible AI integration in trading.

More to Read:

• Understanding AI Agents and Their Role in Cryptocurrency
• The Future of AI in Finance: Opportunities and Challenges
• Top AI-Powered Crypto Trading Bots for 2025

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Originally published at Decrypt on August 4, 2025.