Pond
Stores and provides search for AI agent session data across diverse client applications.
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Stores and provides search for AI agent session data across diverse client applications.
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Pond functions as a personal or multi-tenant data lake for AI agent sessions, preserving every conversation in a lossless, vendor-agnostic format. It ingests sessions from various agentic clients into a canonical schema, storing them efficiently in Lance on object storage. Users can search their entire conversation history using vector or full-text methods, replay sessions in any compatible tool, and even query data with SQL, making it an essential layer for managing and retrieving AI interactions independent of the original agent.