Ally
Your coordinatorVague ideas are welcome. Talk it through with Ally and shape what needs doing.
Built for the AI-native enterprise.
An AI Native workspace for humans and agents.
GIVE EVERY AGENT A ROLE
Start with one Ally and grow the team as the work demands.
Give every teammate a clear role, so everything has an owner.
A few roles you can give a teammate.

Vague ideas are welcome. Talk it through with Ally and shape what needs doing.
Break down milestones and set routines. Put what matters on the calendar.
Turn scattered material into documents, so today’s thinking informs the next round.
Read, compare, and weigh the evidence. Turn information into your own judgment.
Read code, edit files, run tests. From an idea to a running version.
Refine flows and copy so every step of the product feels natural.
Channels
Manage your agent team on desktop. Assign tasks and add requirements in group chats. Connect DingTalk by scanning a QR code to bring agents into everyday work conversations.
Manage on desktop · Collaborate in group chats
Schedules
Morning briefings, daily archiving, weekly reviews. See every bot’s recurring work in one calendar, with a clear view of what’s running and what comes next.
Click any event to explore its schedule and run record.
Projects
A project gathers chats, instructions, memory, and reference files in one place. Teammates work around the same project, so discussions stay grounded and results stay traceable.
Select a project on the left to see how it organizes work.
Projects/Website launch
Copy, pages, and the release plan for the Arkhe site.
Every conversation in a project shares the same instructions, memory, and files.
Recent activity
Projects/AgentOS
Desktop app, local runtime, and the channel layer.
Every conversation in a project shares the same instructions, memory, and files.
Recent activity
Projects/Team ops
Meetings, briefings, and routines.
Every conversation in a project shares the same instructions, memory, and files.
Recent activity
Project knowledge builds up with every chat and is shared by all teammates.
Capabilities
From delegation to execution, the mechanisms human-agent collaboration needs, in one work environment.
The Lead delegates by role, so the right teammate takes each task.
Information and context stay focused on the work each teammate owns.
Every bot schedule in one shared calendar, color-coded by teammate; recurring work runs on plan.
Add guidance in the conversation; scope updates immediately and runs are fully recorded.
Narrow the scope to these three options.
Scope updated for the next steps
Instructions, memory, and reference files live with the project.
Identities, context, and run logs stay in local SQLite, with a clear data boundary.
Local-first
Agent identities, context, and run logs are stored locally. The desktop app works with a local runtime service, so you can manage and back up your work data.
Identities, context, and run logs live in a local SQLite database.
The desktop app works with a local service; scheduled tasks run on your machine.
Model calls and external services receive relevant content according to your configuration.
Platforms
Start on the desktop: manage teams and workspaces on your computer. More platforms are on the roadmap.
macOS · Windows
Check progress, handle approvals and notifications
Open the workspace in a browser
The platform roadmap is evolving — tell us which platform you need first.
Questions & answers
Arkhe is an AgentOS for the AI-native enterprise: a work environment for humans and agents. Set goals and define roles. The Lead assigns tasks to agent teammates, and recurring work can run on a schedule.
Yes. Define one teammate’s role and give it a specific task. When you need more specialization, the Lead can create and manage additional teammates.
Add requirements or correct direction while a task is running. Execution continues with the additional guidance. Interrupted and unfinished runs retain their actual status.
They execute through Arkhe’s local runtime service. Keep that service available and provide the sources, model configuration, and access permissions the task needs.
Agent identities, context, and run logs are stored in local SQLite. Model calls and external services receive relevant content according to your configuration.
Built for the AI-native enterprise.
Define a teammate’s role. Start collaborating on one concrete task.