Memora
"You never truly know the value of a moment until it becomes a memory."
Give your AI agents persistent memory
An MCP memory layer for agents: structured storage, semantic retrieval, graph relations, and source-backed cross-session context.
Absorb agent work into durable graph memory, then use memory_digest(topic) to retrieve relevant memories, TODOs/issues, related edges, and source IDs.
Features · Preview · Install · Usage · Config · Live Graph · Cloud Graph · Chat · Semantic Search · Documents · LLM Dedup · Linking · Neovim
Features
Core Storage
- 💾 Persistent Storage - SQLite with optional cloud sync (S3, R2, D1)
- 📂 Hierarchical Organization - Section/subsection structure with auto-hierarchy assignment
- 📦 Export/Import - Backup and restore with merge strategies
Search & Intelligence
- 🔍 Semantic Search - Vector embeddings (TF-IDF, sentence-transformers, OpenAI)
- 🎯 Advanced Queries - Full-text, date ranges, tag filters (AND/OR/NOT), hybrid search
- 🔀 Cross-references - Auto-linked related memories based on similarity
- 🤖 LLM Deduplication - Find and merge duplicates with AI-powered comparison
- 🔗 Memory Linking - Typed edges, importance boosting, and cluster detection
