Use case
Follow-up work vanishes.
Tech debt accumulates invisibly.
AI sessions generate todos that never make it to a backlog. Kleio captures work items in the moment and synthesizes them into a prioritized, deduplicated queue.
The cost of invisible debt
- AI agents surface follow-up work during sessions that nobody tracks after the session ends.
- The same technical debt gets rediscovered sprint after sprint because there's no deduplication.
- Manual backlog grooming can't keep up with the volume of signals from fast-moving teams.
- Priority decisions happen in people's heads, not in a system — so they're lost when that person is unavailable.
- Feature factory pressure means debt compounds silently until something breaks.
How Kleio helps
Auto-synthesized backlog items
Work-item captures from MCP, CLI, and GitHub automatically synthesize into structured backlog items with context attached.
Eisenhower prioritization
Triage by urgency and importance. Every backlog item has axes you can set, so priority isn't just a number — it's a reasoned position.
Semantic deduplication
Kleio uses embeddings to detect when a new capture is a duplicate of an existing backlog item, preventing the same issue from being filed repeatedly.
Auto-close via checkpoints and PRs
When a checkpoint or merged PR semantically matches an open backlog item, Kleio can auto-close it — no manual status updates required.
See it in action
An agent plans a migration. Kleio captures every signal along the way.
Agent Plan
Task: Migrate auth from Firebase to Clerk
- 1.Scaffold Clerk provider and session hooks
- 2.Replace Firebase login/signup flows
- 3.Update API middleware for Clerk JWT validation
Press Build to run the capture demo.
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