Developer Builds Autonomous AI Agent on Solana With On-Chain Policy Controls

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A developer participating in the #100DaysOfSolana challenge has built an autonomous AI agent capable of reasoning, making decisions, and executing transactions on Solana's Devnet. The system was assembled over five days, with each session contributing a distinct component: an agent loop, blockchain tools, an MCP server, a policy engine, and a final autonomous workflow. The agent uses a large language model to decide which actions to take, but all fund transfers must pass through a deny-by-default policy engine before any transaction is signed. The developer noted that the policy engine, rather than the AI model, serves as the true core of the system, since the LLM only determines intent while the surrounding infrastructure enforces safety. The project culminated in a documentation effort aimed at making the entire architecture reproducible by any developer without additional guidance.

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