Store, recall, and reason over long-term context with ease.
Better memory → smarter agents → faster execution.
Add persistent memory to your agents in minutes
Everything you need to give your AI agents persistent, queryable memory
Long-term episodes, events & relationships stored and retrievable forever.
Embeddings + graph queries let agents retrieve exactly what matters.
Simple Python functions; drop it into any LLM project instantly.
Shared memory vault for all agentic workflows to collaborate.
See how RyuMem transforms your agent interactions into queryable memory
Every conversation, fact, or observation enters.
LLM automatically identifies entities & relations.
Bi-temporal graph with valid_at & created_at.
Hybrid retrieval combines 3 best strategies.
Recent facts weighted higher, auto-resolved.
Join developers scaling the next generation of autonomous AI with persistent context.