Welcome

This is the official documentation of SkyWalking AI Sessionizer. You're welcome to join us.

SkyWalking AI Sessionizer assembles the fragmented telemetry of a long-lived AI agent into one durable conversation. It reads the files an agent runtime already writes, lands them in a format no runtime owns, and builds the conversation structure as a chain of immutable, verifiable rounds.

• Concepts and Designs. Start here to understand what the project is, the conversation model it assembles, and the evidence rules every page follows.
• Setup. Build the binary, collect this machine's history, assemble it and read it. Configuration, the command line and the container image.
• Data Formats. What is on disk: the storage root, Session Data (.sd) and Session Flow (.sf). These are public. A third-party adapter produces the first and a consumer reads the second.
• Adapters. How a specific agent runtime maps onto the model, and what it can and cannot supply.
• Guides. Contributing and releasing.
• Changelog. What the version in development contains, and one page per released version.

We‘re always looking for help improving our documentation and codebase, so please don’t hesitate to file an issue if you see any problem. Or better yet, submit your own contribution to help make it better.