Category: Ember Agent OS · Multi-Agent Operations
See what your agents are actually doing. Not a green dot.
Ember Agent OS is a visual operating cockpit for autonomous work: workspaces, real terminals, manager–worker topology, timelines, approvals and evidence. Its central promise is to distinguish presence, delivery, receipt, work and health — five distinct states, never collapsed into one indicator.
Built for
- AI operations leads
- Multi-agent teams
- Agent-platform builders
- Status
- Beta
- Ledger step
- Ledger step 3 of 4
- Family
- Ember family
- Access
- This site only
- Listed
- Last change
- None since listing
- In development
- Beta
- Lifecycle states
- 5
- Topology roles
- 3
- Ambiguous green dots
- 0
What this page can show today
- The register marks this track as a public test or verification build.
- This track is documented on this site only.
- Capabilities below are the published feature list for this track.
Limits of this page
- No public product site is published for this track.
- Beta is not a production claim.
- This page does not publish financials, headcount, or client names.
Key features
- 01
Workspace cockpit
One dark terminal-native surface brings workspace context, terminals, changes, research and accounts together.
- 02
Manager–worker topology
MAIN, manager and worker relationships are visible as a live operating graph rather than a pile of terminal windows.
- 03
Provenance on every state
Lifecycle state carries source and freshness so a queued message, present process or visible spinner is never mistaken for completed work.
- 04
Guarded lifecycle control
Approval queues, wake requests, acknowledgements and retirement states are explicit and independently auditable.
Published links
Technology stack
Node.js · Python · HTML/CSS · xterm.js · tmux
Related platforms
Family on the register: Ember family Same family first, then tracks at the same lifecycle stage.
Same family · Live
Ember AIFoundation Models
Public product site
Same family · Live
Ember LegalLegal Technology
Invite only
Same family · Beta
Ember LiveReal-Time Model Surface
Invite only
Same family · Beta
Ember DesktopAI Work Operating System
This site only
This cell on the investor register
Status and family write into the /investors URL. The holdings table lists every public track in that cell.
Open Beta Ember family holdingsJSON fields are copied from this row in src/data/platforms.ts. No financials.
How this track works
Audience on the left, the published Ember stack in the middle, capabilities on the right. Every node is copied from this track in the public register.
Inputs
Coreidea and Ember
This track does not name an Ember model on its published stack.
Outputs
Select a node to inspect the published role and capability.
Agent fleets run blind. You find out when it breaks.
Multi-agent operations today mean a wall of terminal windows, no shared state, and a single "running" indicator that conflates process existence with completed work.
A green dot is not a status
Process alive, message delivered, message received, work in progress and agent health — these are five different states. Collapsing them into one indicator hides exactly the information an operator needs.
Terminal sprawl
Each agent gets a terminal window. Ten agents means ten windows, no shared context, no topology, and no way to see which ones are actually working versus merely present.
No audit trail on lifecycle
When an agent stalls, retires or is replaced, there is no record of who approved it, when it happened, or what state it was in. Post-incident review becomes guesswork.
Five states. Full provenance. One cockpit.
Ember Agent OS was built around one conviction: an operator should never have to guess whether an agent is working, waiting, stalled or done.
Workspace cockpit
One dark terminal-native surface brings workspace context, terminals, changes, research and accounts together — replacing a pile of terminal windows with a single operating view.
Manager–worker topology
MAIN, manager and worker relationships are visible as a live operating graph. You see who reports to whom, who is active, and where the bottleneck is.
Provenance on every state
Lifecycle state carries source and freshness. A queued message, a present process or a visible spinner is never mistaken for completed work — the state says which one it is.
Guarded lifecycle control
Approval queues, wake requests, acknowledgements and retirement states are explicit and independently auditable. No silent kills, no unlogged restarts.
Open the cockpit. See the fleet. Act on evidence.
Open the cockpit
Launch the terminal-native cockpit. All workspaces, agents and terminals are visible in one surface.
See the topology
MAIN, manager and worker relationships render as a live graph. You see the full fleet structure at a glance.
Monitor lifecycle states
Each agent shows one of five distinct states with source and freshness. No ambiguity about what is actually happening.
Review and approve
Wake requests, retirement proposals and escalation decisions flow through approval queues. Every action is logged.
Retire or re-steer
Completed or stalled agents are retired with full context handoff. Re-steering sends new instructions with the audit trail intact.
Terminal-native. Evidence-grade.
xterm.js terminal grid
Real terminal sessions rendered in a grid — not log viewers, not output wrappers. Each agent's live session is accessible from the cockpit.
tmux session management
Agent processes run in tmux sessions. The cockpit manages, monitors and connects to them — surviving disconnects and window closures.
Lifecycle state machine
Presence, delivery, receipt, work and health are five distinct states with source and freshness — a state machine, not a boolean flag.
Approval and audit layer
Approval queues, acknowledgements and retirement decisions are logged with timestamp, actor and context. The audit trail is the product.
Who needs the cockpit.
AI operations leads
Manage a fleet of autonomous agents with visible topology, lifecycle states and approval gates — instead of tabbing through terminals.
Multi-agent teams
Coordinate MAIN, manager and worker agents with shared context and evidence. Everyone sees the same operating picture.
Agent-platform builders
Build orchestration on top of provenance-grade lifecycle states. Five states with source and freshness — not a green dot.
Incident response
When an agent stalls or produces bad output, the audit trail shows exactly when it happened, who approved it, and what state it was in.
Questions, answered.
What are the five lifecycle states?
Presence (process is alive), delivery (message was sent), receipt (message was received), work (the agent is actively working) and health (the agent is responsive and producing). Each carries source and freshness. None of them is a simple "running" flag.
Does it replace tmux or terminal multiplexers?
No. Ember Agent OS uses tmux underneath and adds the operating layer on top — topology, lifecycle states, approvals and audit. Your existing terminal workflow still works.
What stage is it at?
Ember Agent OS is in beta. The cockpit, topology view, lifecycle states and approval queues are functional. We are hardening the audit layer and expanding integration patterns.
How do I get access?
Contact info@coreidea.cn to request access or learn about the beta program.
Stop guessing. Start seeing.
Ember Agent OS is in beta. Request access, or talk to us about your multi-agent operations.