Long-term memory for AI agents that organizes itself and corrects itself
Stage
Not given
MVP
Founded
Not given
Not given
Based in
US
SE
Pricing model
Contact for pricing
Free
Pricing
Not given
Personal: Free during early access. Unlimited memories, all agents with separate memories, no card required. Enterprise: On request, set up by the team for departmental organization with cross-department sharing and direct support.
Key features
Distillery: Operating system for enterprise AI
Weave: Autonomous AI system construction
Context Mesh: Enterprise knowledge structured for AI
Context Views: Enterprise semantic layer for agents
Journey: AI voice layer for digital experiences
Personalization: 1:1 customer engagement at enterprise scale
Capture: Tacit knowledge capture at scale
Canary: Self-improvement for AI systems
Forward-deployed engineers and researchers
EBITDA impact in 6 months
Self-correcting memory that updates when facts change
Historical memory queries with time-based retrieval
Automatic topic organization and hierarchy
Separate memory for each agent with controlled sharing
Multi-agent support via MCP, REST API, or LangGraph
AES-256 encryption at rest and in backups
OAuth 2.1 authentication and API key management
Data export and deletion capabilities
37 MCP tools with automated verification on every code change
What makes it different
Delivers production AI systems in weeks or months
150M+ end users reached by AI systems
Understands what changed, when it was true, and where it belongs - beyond vector database similarity
Never contradicts itself by automatically replacing outdated facts
Fully GDPR aligned with built-in privacy by design
Two-minute integration with Claude, ChatGPT, Cursor and any MCP client
Data stays in Europe on AWS eu-north-1 and never used for model training
Distyl