Agents as Data: Why the Session Log Should Be Your System of Record

The concept of an agent is redefined as the durable history of interactions, including user inputs, model outputs, tool calls, and results, rather than being tied to the model, runtime, or specific processes executing tasks. This history, when properly maintained, allows for reliable recovery from crashes, scalability, branching experiments, multi-user workflows, and seamless migration between different models or providers. The session log, paired with a session definition, forms the complete state of an agent, allowing any process to pick up and continue a task from where it left off. By treating this log as the primary record, similar to a database's write-ahead log, agents become more reliable and adaptable, with their actions and decisions being traceable and auditable. The log is seen as a foundational element, with tools like Pixeltable offering a structured, versioned, and queryable system for storing session data, thus enabling better state management, auditability, and experimentation without being tightly coupled to specific execution frameworks.

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