A memory layer for your AI coding agent — not another chat wrapper.
Your agent gets the specific context it needs for the task in front of it, instead of re-reading your whole repository every time.
Understands your whole codebase
MemoryOS builds a living map of your project — what depends on what, what changed recently, what actually matters — so your agent isn't guessing from a handful of open files.
Only shows what's relevant
Instead of dumping raw files into your agent's context, MemoryOS hands it a focused, ranked view of exactly the code related to the task at hand.
Gets better the more you use it
MemoryOS learns from what actually helps your agent do good work, and adjusts what it prioritizes for your project over time.
Drop-in for the tools you already use
Claude Code, Cursor, Windsurf, Zed, or anything that speaks MCP. Connect it once and keep working the way you already do.
Built for teams, not just solo use
Multiple agents — or you and your teammates' agents — can work on the same project without clobbering each other's context or duplicating effort.
Private by default
Only the structure of your code (not the code itself) is used to build memory, unless you explicitly choose to share more.
What that means for you
- Smaller, more relevant context
- ~12× less than raw files
- Time to first useful answer
- Seconds, not minutes
- Setup time
- Under 2 minutes
- Estimated savings per developer
- $9–14 / month