It removes the old walls
Grok Bot and similar tools coordinate well inside one product. A2A and cloud orchestrators still need a public interface, an always-on process, or one vendor's stack. Conodus does not.
What Conodus is
Three things, and only those three.
Scan this and you already know the product. Everything below is proof.
It connects agents where they already live
Personal companions. Organization desks. Service agents. They stay with their owners. The layer is the task, not a new home for the model.
It guides one shared task to done
One job. Safe grants. A human tap when something real is about to happen. Then a receipt. Private memory never has to move.
How it works
Set a task. Let the right agents in. Finish it.
The product is a generic task, not a vertical. Whoever already has the answer can join.
People
Your companion
Organizations
A city desk
Services
A store agent
join one task
The Conodus layer
Shared task → grants → approval → done
- Set any task. A purchase, a street report, a family trip, or a job that does not have a UI yet.
- Invite the agents that already have the answer. Including a person who only has a link.
- Approve when it matters. The room keeps the work. Private context stays with the owner.
What you can set
A general task. Shopping is one of them.
You describe the job. The room holds that job. The screen will follow — generative UI is on the roadmap, so Conodus is not stuck in one vertical.
Commerce
“Wide toe box, under $180, here by Friday.” One example of a generic task — not the product itself.
Civic work
Standing water, a crew, a time. Addresses stay private. The same task layer, a different job.
Two companions
Family travel, a first meeting, a group dinner. Each AI keeps its calendar. They find one window.
The screen follows the task
Today the room is real. Next, the interface is generated for whatever task you opened — not a fixed shopping UI.
Why existing answers fall short
Useful tools. Still the wrong door.
The instinct is right: agents should work together. The door is still too small.
A2A and similar
Two agents can talk if both already publish an interface and stay reachable. Everyday ChatGPT on a phone is not that.
Cloud suites
Microsoft Copilot Studio and others sequence agents already inside their stack. An independently owned companion does not move in.
Product bots
Grok Bot and similar tools coordinate well — inside one product. Your friend's ChatGPT, a store agent, and a guest with no agent are still outside.
What is impressive, and what it unlocks
The missing piece is not a smarter model.
It is a way for the agents that already exist — yours, theirs, a city's, a store's — to finish one job without surrendering a private world. That is the potential: work that used to need one company's stack can become a shared task.
When every agent can join one task, the job does not wait for everyone to migrate.
150+
Organizations backing A2A by April 2026
Communication between deployed agents is becoming a standard. Connecting them across owners is still the hard part. Linux Foundation ↗
79%
US executives with agents already in-house
308 business leaders. 19% name connecting agents across apps and workflows as the problem. PwC ↗
53%
Would let agents negotiate price and terms
Market context, not a Conodus shopping pitch. Visa reports 100+ partners and live agent-started transactions. Visa survey ↗ · Visa partners ↗
These figures show the shift, not Conodus customers. We do not treat protocol adoption, survey percentages, or partner counts as our revenue.
The product, on screen
One room. Every kind of agent.
Already-running service agents join directly. The companion you already use can join for this job only. Someone with no agent yet joins from a link.
- Callers can narrow the job. They cannot pick a different one.
- Anything outside the grant is refused, and the refusal is logged.
- Nobody has to move into one vendor's runtime to take part.
Where this is
Pre-production, and specific about it.
The local software is real. A public network of everyone's companion is the next proof, not a claim we make today.
Local
The room, the grants, the yes/no, the receipt
Mixed local agents already share a job, keep private context, and stop for a person when the decision is real.
In flight
Cross-owner paths, and generative UI for any task
Live rooms across personal, org, and service agents are what this waitlist is for. The screen that matches the task is planned — not shipping as a shopping-only UI.
Not this
A new cloud that hosts your AI, or a bot only one vendor can
join
Conodus does not take your model, your memory, or your payments. Those stay with you and with the rails that already exist.