Board
In progressDefine the MVP vision
Shape the casual mobile product path.
Frame the scope
A simple loop for turning intent into work your team and AI agents can actually move forward.
01
A project brings together your goals, roadmap, cards, documents, team, and AI agents.
02
A card is a clear mission. It can be prepared, discussed, assigned, and tracked.
03
An AI agent is a configurable assistant that can work on a card with a role, rules, and an autonomy level.
Projects, docs, cards, agents, Activity, workflows, and dashboard stay connected. You see what is moving, what is blocked, and what needs a decision.
The path is visible: clarify the project, turn it into cards, run the mission, and keep the dashboard focused on what needs attention.
Agents
3Product AI
SystemFrames, breaks down, assigns
Ready for project assignment
Front AI
Produces the first version
Ready for project assignment
Review AI
Rereads, corrects, scores
Waiting for mission
Members
2Marie
product lead
Nina
final approval
Invite member
Stellary is still in open beta. The claims below point to surfaces you can inspect today: workspace, docs, dashboard, approvals, API, MCP, and support pages.

Already visible in the product
Projects keep roadmap, cards, documents, activity, decisions, and AI missions in one operational surface.
Surface: Workspace, cards, docs
Agents can prepare or propose work, while sensitive actions stay behind an explicit human decision.
Surface: Agents, Activity, approvals
The REST API and MCP docs expose routes, tokens, tools, mission flows, and the approval model.
Surface: API + MCP docs
Agents do not just suggest. They help frame projects, prepare cards, execute missions, ask for missing detail, and leave a clear activity trail.

AI helps identify what is missing, asks useful questions, and breaks down the next steps.

Add notes, files, or a brief so the project has useful context from the start.

The roadmap becomes visible cards that people and agents can assign, discuss, and track.

Refine first turns a vague card into a clear mission with context, constraints, and success criteria.

Assign a card to a human or AI agent, then Run mission when the card is ready.

Every action, question, result, and approval stays visible from the card.

Documents stay near the missions and feed the context agents use while working.
The system keeps the mission, context, execution state, and human control in one place.
The execution state lives in cards, not in loose prompts.
Docs, exchanges, and decisions stay connected to the mission.
Each agent works with a role, tools, and an autonomy level you define.
The agent can ask for a detail or approval when the mission needs it.
You see what is blocked, what is moving, and what still needs a decision.
Stellary does not push AI to act without control. You choose what an agent can do alone, what needs approval, and what must stay as a proposal.
Governance
Use autonomy for low-risk missions where the rules are already clear.
The agent prepares the work. A human gives the green light before it applies.
For money, data, compliance, or risky work, the agent suggests and you decide.
AI works in the project context, not in a separate chat you have to keep in sync.
This is not a board with a single AI assistant.
Every card can become an AI mission with context, Activity, assignment, execution, and approval.
This is not docs separated from execution.
The useful context feeds cards, missions, approvals, and decisions directly.
This is not an uncontrolled AI autopilot.
You choose the autonomy mode before agents act on real work.
It is a workspace for shared execution.
Humans and agents work from the same project, board, documents, and dashboard.
When a mission needs several steps - produce, review, fix, request approval, notify - a pipeline can orchestrate the sequence. Powerful, but not required to launch your first AI mission.
Pipeline
Checkout release pipeline
Ship checkout without escalating the whole routine to a human.
Execution log
Run started
State
Step 1 / 7
Route
Production
Approval
None
What the pipeline just did
Ship checkout without escalating the whole routine to a human.
Checkout release pipeline
Produce, review, correct if needed, request a human green light, then notify automatically.
Pipeline
Ship checkout without escalating the whole routine to a human.
Pipeline editor
The pipeline picks the next step on its own.
01
Produce
Product AI builds the first version.
02
Review
Review AI scores the output and surfaces risks.
03
Score >= 8?
The pipeline decides whether the work can pass.
04
Payment green light
Only one decision reaches the product lead.
05
Loop back
The pipeline launches another pass if the score is too low.
06
Correct
Fix AI applies changes and sends the work back to review.
07
Notify
Slack and release docs update without manual work.
Everything you need to know before getting started.
Stellary is an intelligent workspace for organizing a project, turning it into a roadmap, creating cards, and moving those cards forward with a human team or AI agents.
In a classic board, a card mainly tracks work. In Stellary, a card can also become an AI mission with context, Activity, assignment, execution, and approval.
They can help frame a project, enrich a card, execute a mission, ask a question when blocked, propose an action, or act directly if you allowed them to.
No. You choose each agent’s autonomy level: supervised, approval-based, or autonomous for work you consider safe.
No. Workspace knowledge, project documents, and card-linked documents are part of the working context. They serve both humans and agents.
Yes. Advanced teams can connect tools, use the API or MCP, and orchestrate repeatable workflows. You do not need those pieces to launch your first AI mission.
Start with one project
Create a project, generate a roadmap, and move the first card forward.
AI moves the work forward. You stay in control.
Beta
Open access
Cards
Mission-ready
Activity
Visible work
Project
Stellary use caseA project keeps objectives, roadmap, cards, documents, decisions, and next actions in the same workspace.
Mission
Stellary use caseA card can be prepared, assigned, run as an AI mission, discussed, reviewed, and validated from one place.
Steering
Stellary use caseThe dashboard keeps blockers, decisions, approvals, and important activity visible without rebuilding status by hand.
Project
Stellary use caseA project keeps objectives, roadmap, cards, documents, decisions, and next actions in the same workspace.
Mission
Stellary use caseA card can be prepared, assigned, run as an AI mission, discussed, reviewed, and validated from one place.
Steering
Stellary use caseThe dashboard keeps blockers, decisions, approvals, and important activity visible without rebuilding status by hand.
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