Architecture

Data Never silos - Always Flows

1 LLM Providers ↔ Agents ↔ Orchestrator

Providers are not isolated—they're selected dynamically based on task requirements. Agents consume LLM capabilities, orchestrator controls flow.

2 Registry ↔ Skills ↔ Agents ↔ A2A

Registry isn't a silo—agents advertise skills, A2A protocol discovers capabilities dynamically, enabling on-demand team formation.

3 Orchestrator ↔ State Manager ↔ Workflow Nodes

LangGraph orchestrates by passing state between nodes—no silos, just a continuous flow graph where each node modifies shared state.

4 Extensions Connect Seamlessly

Add custom agents, tools, or providers—they plug into existing flow without rewriting.

Example: Cross-Module Request

# User asks: "Research AI agents and write a blog post"
# 
# 1. A2A receives request
# 2. Registry finds: research skill + writing skill
# 3. LangChain orchestrates:
#    - GoogleAgent (research skill) → fetches info
#    - OpenAIAgent (writing skill) → generates content
#    - State merges → final output
# Result: Seamless cross-module collaboration