Shared memory for regulated companies and their AI agents
Context infrastructure for AI agents
Stage
Not given
Startup
Founded
Not given
Not given
Based in
US
GB
Pricing model
Freemium
Freemium
Pricing
Team plan: $10/person/month with 14-day free trial, includes meeting recording, email and calendar enrichment, knowledge organized by topic, private scopes and projects, agent keys with custom permissions, import existing brain, and MCP for all agents. Enterprise plan: custom pricing for regulated a
Not given
Key features
Records and transcribes meetings with visible participant
Automatically extracts facts from email and calendar
Scoped access control with automatic sorting
Private projects limited to members
Agent API keys with read-only or read-write permissions
Works with Claude, ChatGPT, Cursor, Codex over MCP
Import existing brain from markdown, Obsidian, or GBrain
Facts organized by topic with full history
Raw email stays private to owner, team sees extracted facts only
180 days of email history imported on day one
Memory system with self-managing advanced memory
Isolated per-tenant instances with version rollback
Portable context server with files, notes and links
Sub-document multi-modal hybrid search
Structured data extraction from PDFs, websites and images
Autonomous agents for knowledge base automation
99.9% uptime SLA
AES-256 encryption at rest and SSL in transit
TypeScript SDK and REST API
Model-agnostic and framework-agnostic
What makes it different
Every fact is scoped automatically by sensitivity level and agents see only what their teammate can access
Agents can write back to the same brain over MCP, updating shared knowledge in real time
CASA Tier 2 security assessed and verified by Google for Gmail and Calendar access
Onboard entire team in under 5 minutes with one-click Google sign-in
Data never used to train AI models, privacy verified in policy
Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
State-of-the-art on two leading AI memory benchmarks
Full-stack data layer eliminating need for multiple services
Production-tested at scale powering Fabric platform
Self-improving memory that tracks relationships and resolves contradictions
Nysa
Exabase