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ContextERP
Agent-to-Agent

Agent-to-Agent: Why Context is the New Currency

A new kind of customer just clocked in: software agents talking to your software agents.

When both sides of the conversation are silicon, speed is measured in microseconds and tolerance for missing context is zero.

The Junior Hire vs Karen-the-Oracle

Typical ERP (Junior Hire)

"Solve this tax discrepancy with only 20% of the paperwork"

Loops back for missing info
Escalates to human experts
Burns 2 hours, still guesses

This is how today's chatbots feel to your suppliers' or customers' agents— under-fed and over-confident.

Context-Rich Platform (Karen-the-Oracle)

"20-year veteran who remembers every acquisition, policy change, and client quirk"

Instant access to full context
Resolves in minutes
Has the full story in memory

We recreate Karen's brain in code: every event, dependency, and policy ready for instant retrieval. Agents trade facts, not guesses.

Live Agent-to-Agent Communication

Total Time: 0.0s
Human Turns: 0
Context Packets: 0
Agent Network
Context Hub
BuyerBotExternal
VisionAgent
PricingAgent
ComplianceAgent
SellerBotExternal
Context Packets

No packets yet

Run demo to see agent communication

Demo Sequence Breakdown

1

BuyerBot sends poorly formatted CSV

BuyerBot

SKU|QTY\nWIDGET-A|500

2

VisionAgent autocorrects structure

VisionAgent

Event PO_DRAFTED with clean data structure

3

PricingAgent spots tier discount

PricingAgent

Neo4j path Customer->Contract reveals 5% bulk discount

4

ComplianceAgent checks export restrictions

ComplianceAgent

ITAR/EAR clearance verified automatically

5

SellerBot receives pristine EDI 855

SellerBot

With discount & clearance references included

What Makes Our Context Hub "Karen-the-Oracle"

Immutable Event Log

Every transaction, click, and exception remains accessible forever—no silent overwrites.

Graph Overlay

Captures dependencies (customer ↔ contract ↔ shipment) so agents resolve impact in one hop.

Vector Memory

Stores unstructured artifacts—contracts, emails, SOPs—so LLM-powered agents quote the exact clause, not a hallucination.

Policy-as-Code

Versioned rules let ComplianceAgent or RevenueAgent prove why a decision was made.

Shared Context Fabric

Together they form a shared context fabric that any internal or external agent can query with a millisecond-scale round-trip.

Agent-to-Agent Under the Hood

Sequence Diagram
sequenceDiagram
    participant BuyerBot
    participant ContextHub
    participant PricingAgent
    participant ComplianceAgent
    participant SellerBot
    
    BuyerBot->>ContextHub: PO {sku:WIDGET-A, qty:500}
    ContextHub->>PricingAgent: enriched PO + contract terms
    PricingAgent-->>ContextHub: discount 5%
    ComplianceAgent-->>ContextHub: export-control OK
    ContextHub->>SellerBot: final PO + pricing + clearance
    SellerBot-->>ContextHub: order ack #SO-341
    ContextHub-->>BuyerBot: ack + expected ship date

ContextHub = our event-stream + graph + vector fusion layer. Each specialist agent subscribes to the same canonical envelope, eliminating "who knows what?" latency.

The Bottom Line

Legacy systems make agents stumble like interns hunting through shared drives. Your platform hands every agent the institutional memory of a career expert— so their agents trust your agents, and the whole loop accelerates.

<300ms
Context retrieval time
0
Human interventions
100%
Context accuracy

Agents Shouldn't Cold-Call Each Other

Give them the dossier before they shake hands. Stop starving your bots— feed them the same 360° context your 30-year veteran has.

Watch deals close while you sleep