Use cases
Long-term AI memory for recurring work
Keep the facts that should survive a single prompt: product decisions, repository conventions, personal preferences, task history, and cross-agent context.
Keywords: long-term AI memory, persistent assistant memory, cross-session AI memory, developer agent memory
Built for repeat work
XMemo helps agents remember the durable context that makes future answers and code changes more accurate.
- Repository conventions and release rules
- User preferences and durable product decisions
- Task follow-ups, TODOs, and prior approaches
Designed for retrieval, not public indexing
Public pages describe the product; private memories stay behind authenticated user consent and are never exposed through crawler discovery files.
- Public SEO pages are separate from private memory data
- Agent discovery is read-only and secret-free
- MCP access requires OAuth or scoped credentials
Frequently asked questions
What is long-term AI memory?
Long-term AI memory is context that persists after a conversation ends and can be reused by authorized assistants later.
Can XMemo remember codebase conventions?
Yes. XMemo can store durable repository conventions, release processes, and implementation decisions for future coding sessions.
Is long-term memory the same as model training?
No. XMemo is a retrieval layer controlled by the user; it does not require training a model on private memories.