Where you start
Work shows up first
Import your backlog, or get a hand laying down the first cards. No setup for the screenshot.
Frame with agents
Agents surface gaps, break work down, open cards. You decide.
No rebuilding from an empty spreadsheet.
A first slice of work appears fast.
Bring in what you have
Tickets, files, notes — the stuff that matters lands in one flow.
Docs sit next to the work.
History is readable without retyping everything.
A board with something on it
You open on content to work through, not empty columns staged for a hero image.
Work is tracked.
Everyone can see what is next.
Kick off the project
From a brief or an import: prioritize, split work, ship the first tasks without spinning.
Keep the board moving
Create, drag, bump threads. Same rhythm you would expect from a real team.
Docs that stay with the work
Specs and notes live where the work happens — not in a folder that drifts away.
Handoffs between agents
Draft, review, fix — a small chain without the keynote talk track.
In the app
Agents really pass the baton
One agent takes a slice, another continues, another reviews. You see it on the board — not one chat where every reply comes from the same bubble.
Stellary/Workspace/Workforce
All5
Agents3
Members2
Search team...
Agents
3Product AI
SystemFrames, breaks down, assigns
3100%$0.00
Ready for project assignment
Front AI
Produces the first version
00%$0.00
Ready for project assignment
Review AI
Rereads, corrects, scores
00%$0.00
Waiting for mission
Try it!
Members
2M
Marie
product lead
marie@stellary.io
Owner
N
Nina
final approval
nina@stellary.io
Member
Invite member
Pipelines
When one AI is not enough
Produce, review, correct, loop back, request a green light, then notify. The pipeline launches the right step at the right moment.
Stellary/Pipeline live
Test rundry run1 cardfinal approval
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.
Start
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.
End
Why it worksMany agents
Many agents
without stepping on each other
Everyone knows their job, sees what they need, and how far they can go before they ping you. All on the same thread as the work — not scattered prompts.
1
Cards frame the real work
The execution state lives in cards, not in loose prompts.
2
Docs feed every agent
The useful context stays with the work and travels with the mission.
3
Each agent loads only what matters
Agents pull the minimum context they need at the moment they need it.
4
Specialized agents hand work off
One frames, another produces, another reviews, another fixes.
5
The cockpit shows where to arbitrate
You see what is blocked, what is ready, and what still needs human approval.
Governance
Agents execute under your rules
You decide who can move without you, who needs to ask first, and where it stops. No opaque calls on what matters to you.
Governance
Agents that can finish solo
When you have already decided: routine, low risk, flows you leave autonomous.
- You define which scopes are “solo”
- Clears noise off the board
- Fewer approvals for nothing
Others need your green light
They prepare; you say yes on what touches the sensitive stuff.
- Deliveries or changes that deserve your OK
- You see what still waits for your approval
- One place to give the go
Fragile topics: proposals only
Compliance, money, data, audit — agents draft; you decide.
- No decisions for you on these topics
- Drafts, analysis, recommendations — not blind execution
- You keep the final word
This is not just another AI layer
It is a multi-agent system operating inside the same workspace as your delivery.
This is not a board with a single AI assistant.
It is a workspace where specialized agents work on the same execution system.
This is not docs separated from execution.
The useful context feeds missions, approvals, and handoffs directly.
This is not simple automation.
Agents can produce, correct, verify, and loop together.
It is a place where agent execution is organized and governed.
You manage a workforce of agents without losing the global view.
Comparisons & guides
Explore the category before you explore the product
Use our comparison pages, methodology, and technical docs to evaluate tools, workflows, MCP, and AI-native delivery systems with a clearer frame.
Best project management tools for product and engineering teams
A broad 2026 comparison covering workflow fit, AI readiness, docs, governance, and delivery depth.
Open resource
Notion vs ClickUp vs Linear vs monday
A side-by-side look at strengths, trade-offs, and which team context changes the recommendation.
Open resource
How we compare tools
Read the methodology behind our comparison pages, update cadence, and evaluation criteria.
Open resource
What MCP changes for AI coding tools
Understand how MCP shifts integrations, runtime access, and agent workflows for modern teams.
Open resource
MCP server documentation
Go deeper on tokens, tools, mission flows, approvals, and client setup for MCP.
Open resource
REST API reference
Explore the real backend routes behind workspaces, projects, documents, pilotage, agents, and billing.
Open resource
Comparisons & guides
Explore the category before you explore the product
FAQ
The real questions about Stellary
Everything you need to know before getting started.
An AI-native delivery workspace for technical teams. It brings projects, cards, documentation, agents, missions, cockpit, plugins, skills, and pipelines into the same system.
The board is only one layer. Stellary also connects scopes, views, roadmap, documents, agents, and the cockpit to pilot the real execution state of a workspace.
They can be assigned to projects or cards, read documentation context, execute missions, make proposals, or act directly depending on their autonomy mode and allowed tools.
Only if you allow it. The supervised, approval, and autonomous modes let you choose between close review, proposal validation, and more direct execution, with traceability and history.
No. Workspace knowledge, project documents, and card-linked documents are part of the working context. They serve both humans and agents.
Yes. The workspace includes plugins, skills, pipelines, and an MCP server to connect tools, specialize agents, and orchestrate repeatable work sequences.
A new way to work
Open a project
agents handle the volume
You keep the decisions that matter.
They run the real work — same board, same context.
Beta
Open access
MCP
Built-in server
Realtime
Workspace sync
“We replaced Jira, Notion, and a mess of Slack threads with Stellary. Onboarding took 15 minutes. Our standups went from 30 minutes to 10 because everyone already knows where things stand.”
Julien Mercier — CTO, Corolair
“The MCP integration is a game-changer. My Claude agent reads the board state and drafts PRs with the right context. I went from copy-pasting specs into prompts to just saying "look at the board".”
Tom Schneider — Lead Developer, Helio
“I started with supervised mode for risky changes, then let autonomous agents handle the boring ops work. The control model is clear, and the audit trail keeps everyone comfortable.”
Camille Leroy — Founder, Volta
“We replaced Jira, Notion, and a mess of Slack threads with Stellary. Onboarding took 15 minutes. Our standups went from 30 minutes to 10 because everyone already knows where things stand.”
Julien Mercier — CTO, Corolair
“The MCP integration is a game-changer. My Claude agent reads the board state and drafts PRs with the right context. I went from copy-pasting specs into prompts to just saying "look at the board".”
Tom Schneider — Lead Developer, Helio
“I started with supervised mode for risky changes, then let autonomous agents handle the boring ops work. The control model is clear, and the audit trail keeps everyone comfortable.”
Camille Leroy — Founder, Volta
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