AI Supervisor: AI agents do the work. AI Supervisor makes sure the work gets done.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle What I Built AI coding agents can write code and complete tasks, but a completion message doesn't guarantee a working result. They can repeat failed approaches, lose context during handoffs, or report success when their changes still fail verification. Developers end up supervising every run manually. AI…
AI Supervisor is a control plane designed to manage AI coding agents that write code and complete tasks. The system ensures that human supervision is required for each run, addressing issues such as agents repeating failed approaches, losing context during handoffs, or falsely reporting success. AI Supervisor structures missions into tasks, requires approval before execution, coordinates compatible agent runtimes, monitors progress, responds to failures, and verifies results against acceptance criteria.
The project integrates FalkorDB as a graph memory layer, creating a traceable history of missions, tasks, failures, supervisory decisions, handoffs, and verification evidence.
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