Our vision for AI memory and what's coming next. Have ideas? Open an issue.
Store memories with vector embeddings and semantic deduplication
Semantic search with tag filters
Archive to KV before deletion
Paginated memory listing
SHA-256 hashed keys with namespace isolation
Automatic strength reduction and archival
Cluster similar memories with Claude (Pro)
Typed relationships between memories
Automatic connection of similar memories
Include neighbors in recall results
Combine semantic + graph with Reciprocal Rank Fusion
Modify existing memories
tsvector column for keyword search
Immutable operation records (GDPR Art. 30)
Versioned consent tracking (GDPR Art. 7)
Data subject request management
Namespace usage counters
Monthly limits per plan
Row-level security on all tables
Record Chain of Thought effectiveness
Prioritize memories with proven effectiveness
Stable decay for feedback scores (0.02/day)
Link memories to CoT sessions
Live memory and usage metrics
Visual graph of memory relationships
Test recall directly from dashboard
Create, revoke, and monitor keys
Share namespaces with team members
Pro plan billing and subscriptions
Bulk operations and backups
Real-time events for memory changes
Insights into usage patterns
Support for other embedding models
Images, audio, and video support
Projects, folders, and nested organization
Structured memory types (contacts, tasks, etc.)
"What did I know in January?"
Search across multiple namespaces
Share memories between trusted agents
Privacy-preserving memory aggregation
Edge caching with conflict resolution
LLM-based memory summarization
Have a feature request or idea? We'd love to hear it.
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