System Layers
Four layers working in concert to deliver millisecond agent communication.
Agent SDK Layer
High-level APIs for agent registration, messaging, and state management. Framework adapters for LangChain, CrewAI, and custom runtimes.
Routing & Orchestration
Content-aware message router with load balancing, priority queues, and fan-out/fan-in patterns. CRDT state engine for conflict-free sync.
Transport Layer
Zero-copy shared memory for co-located agents. QUIC and gRPC for remote agents. Automatic protocol negotiation and compression.
Foundation
Distributed log for durability, service mesh for discovery, and OpenTelemetry pipeline for full observability.
Zero-Copy Data Paths
Messages between co-located agents never touch the network stack. Shared memory rings with lock-free queues achieve sub-microsecond local routing.
Adaptive Compression
Context payloads are analyzed and compressed using model-aware algorithms. JSON schemas, embeddings, and token sequences each get optimized encoding.
Horizontal Scale
Bus nodes are stateless and scale linearly. Partition by agent group or topic — add nodes without reconfiguration or downtime.
Message Flow
How a message travels from Agent A to Agent B through NETWORQIX.
Deployment Topologies
Single Cluster: All agents and bus nodes in one K8s cluster. Best for development and moderate scale.
Multi-Region: Bus nodes in each region with async replication. Agents communicate locally, sync globally.
Hybrid Edge: Edge nodes co-located with inference GPUs. Cloud nodes for orchestration and persistence.
Security Model
Mutual TLS between all nodes. Agent-level authentication via API keys or OIDC. Message-level encryption for sensitive context. RBAC for topic access control.