agentic-mcp-tools/memora

Memora

_{"You never truly know the value of a moment until it becomes a memory."}

Give your AI agents persistent collective 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 · Multi-DB · Containers · 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)
• 🗄️ Multi-database routing - One process serves many stores; a workspace reaches its own at /mcp/<name> (see Multi-database routing)
• 📂 Hierarchical Organization - Section/subsection structure with auto-hierarchy assignment
• 📦 Export/Import - Backup and restore with merge strategies

Absorb & Lineage

• 🧬 Absorb - Feed facts in; an LLM classifies each against the store (duplicate / update / contradiction / related / new), skips duplicates, links relations, and consolidates related facts — with dry_run preview
• 🌱 Supersession Lineage - Updates supersede old knowledge instead of deleting it; retrieval follows the chain to the current version by default (follow modes: active, latest, full_history)
• 🗞️ Topic Digest - memory_digest(topic) bundles relevant memories, open TODOs/issues, related edges, and source IDs into one retrieval