Consistency and follow-through, for your analytics.

Cornilius solves this consistency problem with an analytics memory layer for your agent. Connected over MCP, it holds your metric definitions, analytical playbooks, open issues, prior findings, and scheduled routines — your agent reads from it and writes to it as it works. It sits behind your agent, keeps only the minimum — definitions, playbooks, issues, findings, and routines — and has no direct access to your raw data sources.

Encode a metric definition once and every conversation starts from it. Cornilius carries your data logic forward, so your agent applies the definition your team agreed on instead of reconstructing it from scratch.

Analysis creates loose ends: an anomaly to watch, a number to re-check, a question for whoever owns the data. Cornilius records each one with a status, an owner, and the channel to raise it in. Your agent starts the next conversation knowing what is open and who it belongs to — so open items get raised, not lost.

Even a strong analyst forgets. A busy week pushes the funnel scan; the cost check quietly slips a month. A schedule does not forget: define a routine once and Cornilius keeps the cadence — every run comes due on time, your agent picks it up, runs the playbook, and files the finding to memory. The analysis runs because it is scheduled, not because someone remembered.

Cornilius holds instructions and findings, not your raw data — your warehouse remains the single source of truth.

One memory underneath your agent: definitions that hold, playbooks that repeat, routines that run on schedule, open issues that come back until they are closed.