Isolated chats
Useful context is trapped in individual sessions.
context lost ×AI was built
single-player.
We’re changing that.
Doppl gives people and AI agents one shared workspace—live context, coordinated handoffs, and memory that compounds.
3 people4 agents1 shared context Live
MKMayaFounder
JLJulesEngineer
RResearchAgent
BBuilderAgent
Maya
Research
Research shared 6 sourcesnow
01 / The single-player era
Your team is collaborating.
Your AI isn’t.
Every chat starts alone. Context gets copied by hand. Agents repeat work, lose decisions, and disappear with the tab.
Disconnected agents
They can’t see, coordinate, or hand work to one another.
context lost ×Disposable knowledge
The answer survives. The reasoning and context do not.
context lost ×02 / One shared room
People and agents, working
from the same world.
Everyone can see the goal, the context, what changed, and who is doing what.
MISSION / 024Prepare launch strategy
5 collaborators liveShared objective
Turn our research into a launch plan technical founders will trust.
private betatechnical audienceno hype
Maya
Research / complete
Market synthesis
6 sources and 3 founder interviews distilled.
Shared to room ✓ Builder / active
Launch surface
Inherited brief, audience, and 12 saved decisions.
TEAM MEMORY
+ Decision Lead with collaboration, not model capability.
Saved by Maya · visible to everyone03 / How it works
Shared context in.
Coordinated work out.
One continuous thread from intention to action to institutional memory.
Create a room
Start with a goal. Bring the right people, context, and agents together.
Work in parallel
Agents divide the work, share findings, ask for input, and hand off tasks.
Keep what you learn
Decisions and useful context remain for the next person, agent, and session.
04 / Knowledge that accumulates
The next session starts where the team left off.
Doppl turns finished work into shared memory—not another transcript to search.
BEFORE
Five isolated chats.
- Repeated briefings
- Partial answers
- Context disappears
→
WITH DOPPL
One shared objective.
- Parallel agents
- Coordinated handoffs
- Memory compounds
05 / Built for real work
Too big for one chat.
Perfect for one room.
01
Ship a product
Research, spec, design, build, and review—with specialist agents sharing one brief.
02
Run an investigation
Explore in parallel while people steer evidence, claims, and conclusions.
03
Operate a company
Carry decisions across founders, functions, and the agents supporting them.
The future isn’t better prompts.
It’s better collaboration.
MJRB
PRIVATE BETA / FOUNDING ROOMS
Bring your team.
Bring your agents.
Join the early access group building the multiplayer future of AI.
For founders, builders, researchers, and AI-native teams.