Long-term memory for AI agents that organizes itself and corrects itself
Stage
Growing
MVP
Founded
Not given
Not given
Based in
Not given
SE
Pricing model
Freemium
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
Long-term memory for AI agents
Automatic fact extraction and reconciliation
Curated recall retrieval
Raw vector search capability
Model Context Protocol integration
Regional data residency
End-to-end encryption
Right to erasure
Bring-your-own-key model support
Recalld Chat assistant
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
Curated recall uses 6.7× fewer tokens than raw search while maintaining accuracy
Automatic fact updating and reconciliation without manual deduplication pipelines
Verified on open benchmark maintained by independent company
Native MCP server requiring no SDK or glue code
GDPR-compliant by design with transparent data handling
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Never contradicts itself by automatically replacing outdated facts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