4. System Architecture

Kairos adopts a six‑layer modular architecture around five core processes—resource onboarding, task orchestration, agent execution, on‑chain interaction, and infrastructure support—forming a unified collaboration system that spans data, compute, and intelligent services.

1. Frontend Layer — No‑code workflow builder & visual interface.

2. Core Services Layer — Orchestration hub managing workflows, agent lifecycles, NLP, dialogue context, and prompts.

3. Storage Layer (SKairosage) — Structured data, vector embeddings, cache.

4. AI Model Layer — LLMs & multimodal generative models.

5. Plugin Layer — External APIs, blockchain protocols, DeFi, social connectors.

6. Infrastructure Layer — Elastic scheduling, load balancing, observability, container deployment.

4.1 Frontend Layer

• FlowEdiKairos — A drag‑and‑drop no‑code editor that converts user intent into agent workflows.

• BotMgmt — A dashboard for starting, pausing, redeploying, and resource‑throttling agents while tracking logs and metrics.

• Analytics — Visualizes task success rates, latency, resource utilization, prompt hit‑rates, and dialogue coherence to aid continuous optimization.

4.2 Core Services Layer

• WorkflowEngine — Parses FlowEdiKairos workflows into atomic tasks and schedules them to optimal nodes, supporting retries, rollbacks, and async coordination.

• BotService — Manages resource allocation, status tracking, messaging, and scaling for all agents.

• DialogueMgmt — Maintains multi‑turn context and interaction history.

• NLPService — Performs intent recognition, semantic parsing, command abstraction, and response construction.

• PromptMgmt — Dynamically builds structured prompts using context, user history, knowledge graphs, and live retrieval.

• PaymentService — Calculates service fees, triggers on‑chain payments via local signatures, and distributes rewards for data or resource contributions.

4.3 Storage Layer (SKairosage)

• DB / RAG — Combines structured databases with Retrieval‑Augmented Generation for real‑time knowledge injection.

• Cache — Stores hot data (session context, intermediate states) to ensure low‑latency edge execution.

• VecKairos DB — A vector database for semantic embeddings, enabling similarity search, clustering, and personalized recommendations.

4.4 AI Model Layer

Hosts multiple LLMs and multimodal AIGC models. The layer is replaceable and extensible, supporting open‑source, enterprise, or Kairos‑proprietary lightweight edge models.

4.5 Plugin Layer

Standardized connectors for:

• Web / DeFi / Blockchain plugins — Market data, CEX/DEX trading, DeFi strategies, smart‑contract calls.

• Communication connectors — Discord, Telegram, GitHub, Slack, enabling auto‑posts, monitoring, and real‑time dialogues.

4.6 Infrastructure Layer

• Kubernetes (K8s) — Container orchestration for elastic scaling and fault tolerance.

• CDN — Global content delivery for low‑latency front‑end resources.

• Dashboard & Logs — Centralized observability, custom metrics, and alerting.