1Ambient records the work.
Ambient runs on each computer and writes down the work as it happens. Raw screens stay on that computer.






















Multiplayer
How it works
1Ambient records the work.
Ambient runs on each computer and writes down the work as it happens. Raw screens stay on that computer.
2Each person decides what is shared.
Share a learned workflow to a team space and teammates’ agents reuse it. Only the work is shared and personal details are removed first.
3One connected database.
What each person shares meets in one database of your own for your agents and analysts.
Use cases
Multiplayer learns how your team works from the work itself. It maps each process and shows what holds it up.
Works with every agent that speaks MCP
Your team’s context in every agent Inside ChatGPT or Claude, Multiplayer answers what the agent can’t know: how the team did this last time, which file, who decided.
Run your processes with agents Multiplayer draws each process from the real work. Hand one step or the whole process to an agent.
See what blocks your work Multiplayer finds where work waits on another team and shows who can unblock it.
Find what to automate See where the hours go and which work repeats.
Learns from the apps your team works in
Agents pick it up in
Privacy and control
PII redaction Private, non-work details are removed before anything reaches the shared memory or any agent. A credentials-only level runs entirely on the device.
Open-source networking Every request that leaves a computer goes through Ambient Bridge, and Bridge is open source under MIT. Read exactly what it sends and where.
Confidential AI inference With Alexandria’s confidential cloud, requests are readable only on the device and inside the enclave running the model. The network, the host and our operators handle only ciphertext.
Roll out Ambient to a team. Multiplayer turns their repeatable workflows into agents.