Deep dive: using tapes for agent datasets
Blog post from Paper Compute Company
Tapes is a newly introduced open-source telemetry tool designed to enhance the transparency, auditability, and understanding of AI agent sessions by maintaining a durable, cryptographically secure record of every agent's actions. Addressing the opacity and security concerns in AI agent tools, tapes operates locally and integrates smoothly with major inference API providers like OpenAI and Anthropic, furnishing a comprehensive system that includes a proxy service, an API server, a CLI client, and a Terminal User Interface (TUI). This setup allows users to capture, persist, and analyze session data, providing capabilities such as vector search for semantic relevance, content-addressable hashes akin to git commits for session tracking, and the ability to manage agent session replays and conversation forks. By utilizing a SQLite database for session storage, tapes enables detailed exploration of session metrics and outcomes, thereby offering a robust framework for more advanced AI workflows and enhanced data security.
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