Laserbrain – the adaptive recursion harness for AI agents (phronesis.world)

Laserbrain is a newly developed adaptive recursion harness designed specifically for AI agents, addressing a common issue where autonomous systems lose direction and continue working without meaningful progress. By providing a fixed external reference, Laserbrain enables agents to self-assess their own state and detect when they have drifted from their original goals. The system checks for four key indicators of drift: grammatical clarity, self-reported stagnation, goal alteration, and lack of progress, allowing agents to "return to the goal" efficiently. Significantly, Laserbrain cuts down the recursive steps an agent takes to reach its goals, demonstrating a median reduction in steps by half compared to unassisted agents. The harness captures agent drift effectively using a check-state function and supports scalability through its suite of tools available via a single MCP-capable URL. However, while it significantly reduces unnecessary recursion, the current testing indicates that it does not inherently enhance the quality of outputs or reduce operational costs for tasks with well-defined criteria, leaving those aspects an open question for future study.