Cognitive Architecture for Intelligent Workloads
CognOS is inspired by cognitive systems. Just as cognitive systems coordinate execution (act), memory (remember), and perception (perceive), CognOS provides three first-class primitives for intelligent workloads.
The Three Pillars
Cognitive Systems
CognOS Platform
Pillar 1: Orchestration (Execution Plane)
Execute intelligent workloads under governance constraints. Every operation goes through an admission pipeline before execution.
Admission Pipeline
Budget Ledger
Double-entry accounting for time, tokens, and money. Lease-commit-reclaim semantics ensure you pay only for what you use.
Gate-before-Budget
Don't reserve paid resources when services are degraded. Your budget doesn't shrink because AWS had a bad day.
Deterministic Decisions
Same input always produces same verdict and reason code. Debuggable, testable, auditable.
Agent Runtime
Orleans-based supervisor/worker pattern with tool integration (MCP) and memory access.
Pillar 2: Knowledge Mesh (Memory Plane)
Structured memory for intelligent systems with provenance tracking. Transform raw inputs into entities, claims, and artifacts.
Lifecycle Management
Multi-Surface Queries
Graph: Relationship traversal · Search: Full-text & semantic · Cube: Analytics & trending
Provenance Tracking
Every entity and claim tracks who, when, why, and how. Complete lineage for explainability.
Gatekeeper Admission
Quality control before ingestion: license validation, topicality filtering, PII detection.
Contradiction Detection
Flags conflicts, routes to reviewers, maintains temporal context for resolution.
Pillar 3: Event Fabric (Signal Plane)
Process streams of signals in real-time. Pipelines transform events, triggers fire actions, command streams enable reactive workflows.
Pipeline Operators
Event Streams
Ordered, durable sequences with schema registration, cursor-based consumption, and replay.
Triggers & Actions
Fire workflows via command streams, send alerts, call webhooks—reactive intelligence.
Metrics as Streams
Observability data flows as first-class events. Topology views and RCA without overhead.
Bridges
Connect external systems via REST/webhooks (ingress) and SignalR/WebSockets/SSE (egress).
Built on Orleans
Orleans is Microsoft's distributed actor framework, proven at Xbox Live scale (millions of concurrent users). CognOS leverages Orleans for natural partitioning, automatic scaling, and failure isolation.
Proven Scale
Millions of concurrent users
Low single-digit millisecond latency
Grain Patterns
AgentGrain, WorkflowGrain, BudgetAccountGrain
Stateful and event-sourced grains
Streaming Built-In
Orleans Streams for pub/sub
Event Hubs and Kafka providers