Layer 2 · Runtime
The future is not one chatbot. It is a controlled exchange of specialized agents sharing memory, sharing state, and trading capability through the same runtime that meters them.
The agents your teams are already running
Research
Retrieval, synthesis, citation.
Code Review
PR triage, regression, security.
Procurement
RFx drafting, vendor scoring.
Legal Intake
Privilege-preserving triage.
Compliance
Control mapping, evidence.
Finance / Ops
Reporting, approvals, exceptions.
Memory · Shared Memory
Stateless AI is disposable AI. Memory compounds team context across sessions, providers, and personnel changes. What the desk learned on Monday, the desk keeps on Friday.
Context built with one provider transfers to another with cross-model fidelity verified on every transfer. No provider lock-in. No reset when the team swaps models.
What one teammate teaches the AI, the team inherits. Role-based access reflects the org chart. Multi-source conflict resolution when two teammates disagree. Memory ages and prunes by policy.
When the provider ships a new model version, the memory does not orphan. Cross-model translation keeps accumulated context portable across vendor migrations and provider-side updates.
Coordinate · Shared State
Multi-agent systems are a consistency problem before they are a protocol problem. Native A2A, AG-UI, and MCP, with framework adapters that let LangGraph, CrewAI, AutoGen, and the OpenAI SDK share one shared state on the gateway.
A2A v0.3 for agent-to-agent, AG-UI for agent-to-UI, MCP stateful sessions for tool and context binding. Open protocols, native implementation, no proprietary glue.
LangGraph, CrewAI, AutoGen, and the OpenAI SDK all speak the same gateway. Different framework, same shared state. The team picks the framework that fits the task without picking the runtime.
Agents converge state through CRDT semantics. No single point of failure, no orchestration bottleneck. The system stays up when individual agents fail.
Exchange · Marketplace
The Exchange is the enterprise marketplace for agents, fine-tuned models, and MCP servers. Sellers publish, buyers consume, and the rev-share lands on the customer side. Governed by the same runtime that runs everything else.
Publish fine-tuned models, agents, or MCP servers on the Exchange. Sellers keep 85 percent of every transaction. The same gateway that meters your spend meters every transaction inside the marketplace.
Every Exchange transaction passes through the same authentication, policy evaluation, routing, and audit logging that runs the rest of the runtime. Marketplace traffic is regulated traffic by default.
Cognitive state transactions across agencies and tenants settle through fidelity-verified transfers. The receiving side gets a machine-checkable certificate that the cognition transferred without loss.
Frameworks, agents, memory boundaries, and the regulator your agents have to satisfy. We map onto the gateway from there.
Layer 2.
Where the agents work.