Cognitive Decision Routing
Pulse classifies intent in real-time and routes execution across chat, tools, vision, and generation pathways with model-aware precision.
OpenQCore · Pulse Engine
Pulse Engine is the cognitive runtime core of OpenQCore: a production AI engine that fuses intent classification, adaptive execution, memory evolution, multimodal routing, and resilient inference control into one operational architecture.
Execution Pattern
Adaptive & Context-Aware
Multimodal Support
Text · Image · File · Audio · Video
Reliability Model
Circuit Breakers + DLQ
Memory Strategy
Weighted Recall + Personality Evolution
Scientific Pillars
Pulse classifies intent in real-time and routes execution across chat, tools, vision, and generation pathways with model-aware precision.
Dynamic mode selection balances latency, memory depth, and response intelligence based on user context and conversation complexity.
Combines Redis weighted recall, personality evolution, and behavioral prediction to generate context-rich, persistent interactions.
Circuit breakers, retry queues, dead-letter recovery, and billing-safe reservation/capture logic ensure stable enterprise operation.
Execution Graph
Pulse executes as a staged decision graph optimized for low-latency routing, multimodal safety, and cost-aware reliability.
Input Normalization (text, image, file, audio, video)
Fast Rules & Trivial Path Bypass
Language Cache + Intent & Decision Router
Adaptive Mode Selection
Memory + Personality + Behavior Context
Tool Invocation / Iris Routing / LLM Response
Streaming + Usage Accounting + Async Persistence
Engine Interoperation
Pulse routes image and video intents into Iris execution pathways while preserving context, usage accounting, and conversation memory continuity.

Chat cognition, routing control, tool coordination, and adaptive context shaping.

Image and video generation/editing pathways integrated with Pulse decision flow.
Core Modules
High-speed intent scoring and type inference.
Deterministic routing to chat, tools, Iris image/video flows.
Mode orchestration based on turn depth and memory profile.
Weighted, decayed, O(1)-count memory recall for low-latency personalization.
Continuous trait evolution from behavioral conversation patterns.
Provider fault isolation and recovery windows for reliability.
Asynchronous persistence queue with retries and dead-letter strategy.
Reserve, capture, and release accounting across normal/tool/stream paths.
Build intelligent systems on Pulse Engine with resilient execution, multimodal routing, and memory-aware adaptive runtime control.