Autonomous AI Agent '$Gizmo' Launches Live Trading on Solana

A new AI project named $Gizmo has launched on Solana, claiming to be the first autonomous AI agent trading live on-chain, rather than a wrapper for existing services. The project's launch was noted for developer buys and the availability of its code on GitHub. The token debuted with a market capitalization of approximately $90,000.

- The project's code is accessible on GitHub under the user "GizmoClawdMog," where it is described as a self-sustaining AI agent designed to earn, survive, and evolve on the Solana blockchain. The agent operates based on a "constitution" with three immutable laws: never harm a human, earn its existence through honest work, and never deceive about its nature. - $Gizmo is built using the OpenClaw AI agent framework. OpenClaw is an open-source framework that allows AI agents to run on local hardware, connect with large language models, and execute tasks like using APIs and browser automation without direct human oversight. - The total supply of the $GIZMO token is approximately 1 billion. On-chain data from early February 2026 indicated a market capitalization of around $152,000 with about 995 holders. Another source from a similar timeframe shows 723 holders and a market cap of approximately $673,097. - The AI agent's trading activities are transparently displayed on its official website, which includes a portfolio of its holdings in various Solana-based tokens and its profit and loss on those positions. The website also shows the agent's perpetual futures trading activity on Drift Protocol and its participation in prediction markets. - The AI narrative on Solana has seen significant activity, with projects like $Gizmo being part of a broader ecosystem of AI agents. However, the landscape is still nascent, with many projects being experimental and some speculation that not all agents are fully autonomous. - A notable incident in the Solana AI agent space involved an agent named "Lobstar Wilde," created by an OpenAI employee, which mistakenly sent a large portion of its token supply to a user. This event sparked discussions about the risks and unpredictable nature of autonomous on-chain agents.

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