Currently in development

One agent. One context.
Your entire team.

Colaberi is a multiplayer workspace where teammates jointly operate the same live AI agent, share project context, see its work in real time and transfer control between collaborators.

Built for teams already using AI agents to ship real work.

colaberi.com / authentication-redesign

Shared session · Authentication Redesign

I

Indrajit· submitted instruction

Inspect the repository and create an authentication implementation plan.

A

Agent

I've reviewed the current authentication flow and identified the files that need to change.

R

Rahul· added constraint

@agent Keep the existing API backward compatible.

A

Agent

Added to the shared project constraints. I will preserve the current API contract.

P

Priya· redirected

@agent Prioritise mobile authentication first.

Pause agentTransfer controlView activity
The problem

AI work is still single-player

Fragmented context

Every teammate works with AI in a separate conversation containing different information and decisions.

Repeated work

Teams repeatedly explain the same project, copy messages and reconcile conflicting AI outputs.

No shared control

A shared transcript lets teammates read the conversation, but it does not let them jointly control the active agent.

Today

IPrivate AI chat
RPrivate AI chat
PPrivate AI chat
SPrivate AI chat
KPrivate AI chat

With Colaberi

IRPSK
AOne live agent · shared session
Solution

A shared control layer for AI agents

Colaberi turns the agent from a private assistant into a shared member of the team.

01

Shared agent session

Every teammate joins the same canonical session instead of creating a separate conversation.

02

Shared project context

Goals, files, constraints, decisions and current work remain available to the entire team.

03

Live agent activity

See what the agent is doing, which files it is using and what action it plans to take next.

04

Attributed instructions

Every instruction shows who submitted it, so the team can understand why the agent changed direction.

05

Control transfer

Hand control of the agent from one teammate to another without losing context.

06

Pause and redirect

Authorised team members can stop the agent, add new constraints and resume it from the same state.

How it works

From private AI chats to one shared workspace

  1. 01

    Create a project

    Start a shared workspace for a product, feature, research task or ongoing mission.

  2. 02

    Invite your team

    Send one link so teammates can join the same project and agent session.

  3. 03

    Work with one agent

    Everyone sees the same context, conversation, files and live agent activity.

  4. 04

    Hand off without restarting

    Transfer control between teammates while preserving the full project state.

Use cases

Built for work that already requires a team

Software development

Developers, product managers and designers jointly operate a coding agent working on the same repository.

Product development

Teams research, plan, write specifications and make product decisions with one persistent agent context.

Research and analysis

Analysts collaborate on long-running research without splitting findings across private chats.

Operations

Teams supervise agents performing multi-step tasks that require human review, approvals and handoffs.

Why Colaberi is different

Not another group chat with an AI bot

Shared AI chat

  • Shared messages
  • Basic bot responses
  • Conversation-focused
  • Limited execution visibility
  • No clear controller
  • Context becomes difficult to manage

Colaberi

  • One canonical agent execution
  • Shared project context and files
  • Live activity and task state
  • Attributed instructions
  • Pause, redirect and control transfer
  • Designed for long-running agent work
About the founder

Built by a founder who has shipped production software

Colaberi is being built by Indrajit Guha, founder of VeriMailX and Coldvane.

These are separate products from Colaberi, but demonstrate the founder's experience building, deploying and operating production software.

Early access

Help shape the future of multiplayer agents

We are inviting a small number of software and product teams to test the first version. Join the early-access list if your team already uses AI agents for real project work.

We only use your details to evaluate early-access fit.