The shared memory layer for AI agents
One persistent context your agents read and write, so they never start from zero.
Agents start every session from zero
Context lives in one chat window. Close it, switch tools, or hand off to a teammate, and everything the agent learned is gone.
Lose context
Preferences, decisions and project facts vanish the moment a session ends.
Repeat work
You re-explain the same setup and the agent redoes work it already did.
Waste tokens
Every call re-sends the whole history just to rebuild what was already known.
One context, everywhere
Write memory once and every agent recalls it, no matter the session, the tool, or the teammate, so the same context follows your work everywhere it runs.
Across sessions
Every run starts where the last one ended, so progress and decisions always carry forward.
Across tools
One memory shared by Claude, Codex, your IDE and CI, so every tool works from the same facts.
Across teammates
A shared brain your whole team's agents read from and write to, so knowledge keeps compounding.
More reliable agents, lower cost
Shared memory keeps agents behaving consistently from run to run, and stops them paying to rebuild the same context on every single call.
Reliability
Cost
One library, in sync everywhere
Your saved skills and prompts stay in real-time sync across every device and agent. No copy-pasting, no stale versions.
Ship useful agents faster, with memory that sticks
Give your agents one context that survives every session, tool and teammate. Build less plumbing, lose less work.