Cognetivy is an open-source state layer for AI coding assistants that adds workflows, run tracking, and persistent collections - all local.
Deep Product Research
Turn months of scattered research into a structured knowledge base.
Product decisions require synthesizing customer interviews, competitor products, market reports, and analyst commentary. Define a workflow that accumulates all of it in structured collections across many research sessions - so nothing gets lost between runs.
What you'll achieve
Research that compounds
Every session adds to the same structured base - insight accumulates without manual merging.
Never lose a source
Full event logs capture every document your agent read and every decision it made.
Brief-ready output
Auto-generate stakeholder-ready research briefs directly from the accumulated collection.
How it works
A repeatable workflow you define once and run any time.
Define research dimensions
Set up collections for problem statements, customer signals, competitor features, and market data.
Run iterative research sessions
Each session your agent reads new sources and appends structured records - building on prior runs.
Surface patterns
A synthesis step reads the accumulated collection and highlights recurring pain points and opportunities.
Produce a research brief
Generate a structured artifact that summarizes findings, gaps, and next questions.
Cognetivy features you'll use
Everything you need is already in Cognetivy.
Versioned, reusable step-by-step processes for your agent
Schema-backed data stores that persist and accumulate across runs
Local browser UI to inspect runs, events, and artifacts
Full event log of every agent session, with timing and status
Related use cases
Ready to try?
Set up your first structured workflow in under a minute.