Capture
Conversations, files, and external sources flow in via MCP, REST API, or auto-sync.
MCP-native Agent Memory Cloud Hebbian
Stop re-explaining
everything to your AI .
Claude Code, Codex, Gemini, Cursor — they all pick up where you left off. Connect via MCP, CLI, or REST API — the memory cloud for AI agents. For developers and non-coders alike.
One line to connect (Claude Code)
$ claude mcp add --transport http kagura-memory https://memory.kagura-ai.com/mcp Codex, Cursor, and Gemini use the same MCP config. CLI and REST API also available. Self-hosted? Just swap the URL.
Self-hosted
Open-source
Secure & private
Sound familiar?
Re-explaining the same context to Claude Code — again.
Searching chat history for an answer you know you got — somewhere.
Knowledge trapped in one person's head, invisible to the team.
Don't let your AI conversations — or your agent's work — go to waste.
Memory Cloud's answer
Conversations with AI, work done by agents — all become memory. The more you use it, the more it organizes and refines itself into a living knowledge base.
Auto-memory
Conversations automatically become searchable knowledge. No manual saving.
Organized Memory
Merges duplicates, strengthens connections, resolves contradictions — your knowledge base refines itself as you use it.
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.
AI with memory gets sharper every day.
And memory that compounds becomes your knowledge asset.
Without memory, AI starts from scratch every time.
With memory, AI grows into your own knowledge.
Living Knowledge Base
How knowledge grows
Four steps from raw input to a compounding knowledge base.
-
-
Compile
Your AI structures each fact into a 3-layer schema — summary, context, content. Sleep Maintenance consolidates nightly.
-
Index & Query
Triple index — keyword (BM25), semantic (vector), and relational (graph). Hybrid Search with AI Reranker.
-
Compound
Hebbian learning strengthens connections every time you recall — your knowledge base gets smarter without LLM cost.
…and every recall compounds — connections strengthen with use, the cycle continues.
Built for how you work
Developers
Before Re-explaining your codebase to Claude every session
After Claude remembers your architecture, patterns, and past debugging sessions
Researchers
Before Paper summaries and notes scattered across tools
After Every insight builds on the last — connections emerge automatically
Teams
Before Knowledge trapped in individual chat histories
After Shared context means every team member's AI is up to speed
Up and running in minutes
Cloud
- 1 Request beta access (email 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