The Brain is the cockpit’s reflective surface. It shows the patterns your agents have learned — what worked, what didn’t, what’s been corroborated across enough evidence to act on confidently. It’s not a generic analytics page. It’s the answer to “why is the agent proposing this?”Documentation Index
Fetch the complete documentation index at: https://docs.meshpilot.app/llms.txt
Use this file to discover all available pages before exploring further.
What’s on the page
- Strong / moderate / weak patterns — badges or a micro-strip at the top showing how the brain is splitting its current knowledge.
- Patterns table — each learned pattern with a plain-English summary (e.g. “calls placed before 10am IST have ~2× higher pickup rate”), the confidence tier, and the evidence count.
- Confidence view — drill into how a pattern’s confidence has moved over time as new evidence corroborates or contradicts it.
- Evidence / corroboration signals — the anonymised brand count, the operator-label history (followed / overrode), and the timestamps.
- Reflector explanation footer — a short note on how patterns get promoted from observation to actionable wisdom.
How it relates to your agents
Every agent emits observations as it works. When the same pattern is seen across enough brands, the brain’s reflector promotes it into anonymised cross-brand wisdom. Agents recall patterns before drafting proposals; you can label whether a pattern’s advice actually worked, which closes the confidence loop.Patterns are anonymised before they ever leave your workspace — see Brain & memory → Privacy for the invariants.
Open Brain
See what your agents have learned.