The all-in-one agentic AI solution for your organization
Hosted memory for AI agents that forgets like people do
Stage
Startup
Not given
Founded
2024
Not given
Based in
Not given
Not given
Pricing model
Freemium
Free trial
Pricing
Starter (free), Professional ($29/seat/month), Enterprise (contact for pricing)
Two meters: user turns (per user turn) and stored memory (per GB-month). Pricing to be announced. Free tier with monthly allowance of turns and memories.
Key features
Centralized context repository for unifying work signals across tools
MCP protocol integration with AI assistants and tools
First-class integrations with GitHub, Vercel, Supabase, Railway, Gmail, Notion, Calendly, Codex, Claude Code, and Slack
Per-agent scoped access with full audit trail
Custom vector embeddings for agent memory
Instant agent shutdown from anywhere globally
QUAERO enterprise AI agent governance system
Two-way sync with tools for agent actions and work flows
Support for custom MCP servers and internal tools
Real-time organizational context for agent reasoning
Conversation episodes with automatic cutting and concept-based organization
Activation fading by square root of time with significance tracking
Automatic fact extraction and indexing for recall
Recall system that surfaces relevant past facts when needed
Sleep function that fades context after 24+ hours of silence
Fallback to local tail when service is unreachable
What makes it different
AI-first design with structured, queryable context rather than static documentation
Consistent policy and audit rules across all integrations
MCP-native integrations with no bespoke connectors to maintain
Instant global agent shutdown capability
Guardrails on every agent run by default
Forgets like people do with fading by time, not truncation
Your model, your key, your loop; service only holds history
Facts kept permanently even as episodes fade from view
Decorate, submit, report: only three lines of integration
Human-inspired memory mechanism based on cognitive science