Why we built a memory layer
Your tools remember slices. Nothing remembered the whole.
Mission
Your context ships across two dozen surfaces - Slack, Gmail, calendars, GitHub, health wearables, browser tabs, IDE sessions, and now a different AI assistant for every task. Each one keeps a fragment.
So we built the layer underneath: capture from every surface, store with space isolation, consolidate into a knowledge graph and vector index, analyze continuously, then deliver what needs you - and hand the same memory to your agents over MCP.
The result is memory that outlives the tool you happened to be using. Multi-tenant from day one, your own model key on every plan, and open to a creator ecosystem of widgets, integrations, areas, brain plugins, and signed bundles.
Principles
- 01
Privacy by default
Per-bundle consent panels, source liveness controls, and instant mute on every connector. Revoke without uninstall.
- 02
Open ecosystem
Marketplace for widgets, integrations, areas, brain plugins, and signed desktop or mobile bundles. MCP and API for partners.
- 03
Your key, your models
Bring your own OpenAI, Anthropic, or DeepSeek key - or point us at your own endpoint, including a local model. Your key pays the provider instead of our credits.
- 04
Multi-tenant from day one
Spaces are the tenancy boundary, from a personal space to an organization with departments and teams. Row-level security at the database.
Built for founders and teams who live in AI
Brrainy is the context layer for humans and agents. Capture on every device, connect it into one graph, analyze continuously, and serve it back to whichever assistant you are using.
Get started
See the loop in action
Start free or explore the architecture and feature catalog.