memora MCP server
Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
What memora does
Summarised from the project README; check the repository for the latest details.
Features
- 💾 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/` (see Multi-database routing)
- 📂 Hierarchical Organization - Section/subsection structure with auto-hierarchy assignment
- 📦 Export/Import - Backup and restore with merge strategies
- 🧬 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 `dryrun` 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`, `fullhistory`)
Repository: agentic-box/memora
Stars: ★740
Language: Python
Last updated: 2026-09-28
agent-memoryai-agentclaudeclaude-codecloudflare-d1codexknowledge-graphllmsmcpmcp-servermemorymodel-context-protocolragsemantic-searchsemantic-search-algorithmsqlite
Stars: ★740
Language: Python
Last updated: 2026-09-28
agent-memoryai-agentclaudeclaude-codecloudflare-d1codexknowledge-graphllmsmcpmcp-servermemorymodel-context-protocolragsemantic-searchsemantic-search-algorithmsqlite
How to install memora
No install config was found in this README. See the repository for setup steps, then follow our guides for Claude Desktop, Cursor or VS Code.
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