Seal (Self Healing Harness)

Seal (Self Healing Harness) is an AI agent harness built on top of a simple Database Query Resolution Agent that learns from its own limitations. When a user asks a question it does not have the capability to answer: example a complex question that needs the agent to traverse multiple collections but the tools it has handy only allow accessing one document at a time, it will tell the user that it is beyond it’s capability and mark that instance as a capability gap. Our Analyst agent will then look at that log in Langsmith traces and start exploring why the agent couldn’t fulfill that request. Upon recognizing that the tools it had were incapable of completing the request, it will create a new tool for the harness to use that will bridge that gap. That new tool use would then be ran against evals that the base model was run on, ensure no regression takes place, and then update the harness itself to use that tool-call for similar complex multi collection queries. So instead of merely solving a single bug, it gives the model a whole new class of capabilities by creating entirely new tool calls that did not exist before. MongoDB Atlas stores immutable data snapshots and improvement history of every suggestion and run, while LangSmith provides the execution evidence behind every decision.

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