# myanvoos

- **Event:** [Built with Claude: Life Sciences](https://cerebralvalley.ai/e/built-with-claude-life-sciences)
- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Team:** [Myan Vu](https://cerebralvalley.ai/u/myanvoos)
- **GitHub:** https://github.com/myanvoos/daybook
- **Demo video:** https://youtu.be/fY6PyN0j68g
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/233

Labs are about to have agents doing real work — planning assays, calling compute, triaging data, ordering supplies. But a lab record only counts if it's attributable and tamper-evident; that's the entire job of an ELN, and increasingly a regulatory expectation. If agents act through a bolted-on copilot, their work is either invisible to the record or stranded in a system no auditor trusts. Daybook's bet is that the notebook itself should be the agent's native multi-player workspace, with the same integrity guarantees applied to machine and human work alike. 

With Daybook, the agent operates the same notebook a scientist does, through the same set of actions. The integration surface is an MCP server with 98 tools that map one-to-one onto what a person can do in the UI — draft and sign an experiment, launch and stream a compute run, record a measurement, draw down inventory, link entities, search, request review. No model runs inside the app; the connecting client (Claude Code, Claude Science, or a scheduled background agent) supplies the reasoning. Every write, whether it comes from a human click, a REST call, or an agent's tool call, passes through one shared operation layer and lands as an append-only, hash-chained audit record that names the actor — human, agent, or automation — along with the MCP client and the model behind it.

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Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/233. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt