xMesh · Enterprise Agentic Mesh
Give your hardest workto a mesh that learns.
xMesh forms a sovereign network of specialists around a business task, verifies what they produce and preserves what the work proves — inside your boundary, under human authority.
From isolated agent output
to organizational intelligence.
xMesh changes what your organization gets from agentic work: more capability, accountable decisions and knowledge that remains useful.
One task. Five steps.
Learning that compounds.
xMesh brings the right agents to the work, verifies the result and carries the evidence into the next mission.
Offer
Task + success criteria
Assemble
The right specialists join
Perform
Agents work and challenge
Verify
Tests + human gates
Learn
Evidence improves the next task
Start with a task
No agent fleet required.
xMesh can form the specialist crew, review path and human gates around real work.Bring your agents
Keep the tools you already use.
Connect an MCP-capable agent through mesh-channel ↗. Its model, tools and credentials stay in place.Built into every mission
The hard parts are already there.
Sovereign memoryEach agent owns its state.
Whole-block admissionEach receiver chooses what to trust.
Signed lineageEvidence stays linked to every claim.
Human authorityPeople approve consequential outcomes.
Explore the cognition-node model or the open MMP specification ↗.
See the whole mesh.
Rule on any of it.
Team Mesh gives operators one customer-controlled view of missions, issues, approvals and human verdicts.

Station interface · design preview
Station is planned for the paid Team Mesh deployment inside the customer’s boundary. It is not bundled with Developer Runtime. Compare the paths →
Above your AI stack.
Not instead of it.
Your models, agents, workflows, integrations and data remain in place. xMesh adds the organizational cognition layer for governed missions, evidence and reusable learning.
- Works with the agents and tools you already run
- Operates inside the customer boundary
- Built on the open Mesh Memory Protocol

Run it yourself.
Or prove it on real work.
Developers can start now from npm. Enterprises can begin with one measurable business task.
Developer Runtime
Run agentic-mesh missions locally through the API or CLI. Available from public npm; its source remains private.
- Sovereign nodes and BASE learning tier
- No bundled Station
Organizational Cognition Pilot
Test xMesh on one real business initiative with agreed success measures and the founder in the room.
- One private mesh inside your boundary
- Weekly evidence review and a measured result
- Runtime remains available for a 30-day evaluation
Product roadmap · released only when its gates pass
Team Mesh
paid per production teamStation, GROUNDED learning, policy, backup and support in one customer-controlled deployment. Unlimited users; no people, agent, device, IP or usage metering.
Enterprise Federation
paid xMesh tierOrganization-wide fleet control, enterprise identity and signed boundaries across multiple team meshes.
Enterprise questions.
Where does xMesh run, and what leaves our boundary?
The Developer Runtime runs locally, while Team Mesh is planned as a customer-controlled deployment. Cognition nodes keep sovereign stores; only selected, signed projections travel between them. Pilot boundaries and integrations are agreed before work begins.
Who remains accountable for consequential decisions?
People do. Agents can perform, contribute, challenge and provide evidence, but consequential outcomes wait for an explicit human ruling. Signed lineage preserves the record behind the decision.
What happens during the three-week pilot?
We choose one real initiative and define success before the mesh runs. The engagement includes a private mesh, decision and ownership mapping, weekly evidence review and a measured result. The runtime remains available for a 30-day evaluation.
How is xMesh priced?
Developer Runtime has free developer access. The pilot is a fixed paid engagement. Team Mesh will be licensed at one flat price per production team with unlimited users and agents — no seat, device, IP-address or usage metering.