Your AI
remembers
yesterday's conversation.
Claude, Cursor, Gemini CLI — every MCP-capable client shares the same memory. Kagura Memory Cloud turns conversations into lasting knowledge.
Sound familiar?
Explaining the same context to Claude — again.
Searching chat history for an answer you know you got — somewhere.
Knowledge trapped in one person's head, invisible to the team.
You don't want your AI conversations to go to waste.
Memory Cloud's answer
Turn AI conversations into memory. What you've said once, every AI remembers.
Auto-memory
Conversations automatically become searchable knowledge. No manual saving.
Cross-platform
Memories shared across Claude, Cursor, Gemini CLI, and any MCP-capable client, plus REST API.
Team sharing
Personal insights become team assets. Shared contexts, role-based access.
Memory turns AI into an agent.
An AI without memory is a disposable tool.
An AI with memory is a growing partner.
How memory works
Neural Memory understands your conversations and automatically links related memories.
Automatic relationships
Memories strengthen connections as you use them — the more you recall, the smarter the links.
Knowledge graph
Traverse related memories through a network of connections, not just keyword search.
Hybrid search
Combines vector similarity, keyword matching, and AI reranking for precise recall.
Discovery
Surface related knowledge you didn't explicitly search for — serendipitous connections.
Built for how you work
Developers
Researchers
Teams
Up and running in minutes
Cloud
- 1 Request beta access (DM or sponsor)
- 2 Once approved, sign in at memory.kagura-ai.com
- 3 Connect your AI client via MCP
Self-hosted (Docker)
- 1
git clone kagura-ai/memory-cloud - 2
docker compose up -d - 3
Connect and start