It stays in people’s heads
The reason behind a decision, the fix only one engineer knows—nobody ever typed it anywhere.
The knowledge layer for AI agents
Capture what lives in people’s heads, keep it current, and serve it to the right person or AI agent—never leaking what they should not see.
One source of truth for the people and the agents doing the work.
The problem
The reason behind a decision, the fix only one engineer knows—nobody ever typed it anywhere.
It scatters across Slack threads and tickets, then goes stale within a day of being written.
Agents retrieve from those stale, scattered docs—and contradict themselves, confidently.
How Lore works
Hover a step to see what it does.
What’s below is the real interface—the same graph, probes, and access requests you would use on day one.
“Why did we move off the v1 pricing model?”
The answer exists—but it’s restricted
Priya Nair (VP Product) holds this context. Lore will not leak it—you can request access, ask for a safe summary, or be connected.
Knowledge graph · live
“You had a 3-hour whiteboard with no notes. What was decided on Q3 tiers?”
Auth cache moved to Redis. Wiki auto-healed from latest code.
See Lore on your own Slack and docs. We’ll connect a team, find a missing piece of knowledge, and capture it live.