NexusNet
Multi-agent collaboration system. Build intelligent systems where specialized agents work together seamlessly.
Core Capabilities
Everything you need to build multi-agent systems
Agent Discovery
Automatically find and connect agents based on capabilities and requirements.
Message Passing
Reliable async message delivery between agents with guaranteed ordering.
Task Delegation
Distribute work across specialized agents with automatic load balancing.
Workflow Orchestration
Build complex multi-agent workflows with conditional logic and error handling.
Build Multi-Agent Systems
Create specialized agents that collaborate automatically
from teleon import TeleonClient
client = TeleonClient(api_key="your-api-key")
# Define specialized worker agents
@client.agent(nexusnet={
"capabilities": ["text-generation", "summarization"]
})
async def text_agent(task: dict) -> dict:
# Specialized in text tasks
return {"result": generate_text(task["prompt"])}
@client.agent(nexusnet={
"capabilities": ["image-generation"]
})
async def image_agent(task: dict) -> dict:
# Specialized in image tasks
return {"result": generate_image(task["prompt"])}
# Define coordinator agent
@client.agent(nexusnet={
"capabilities": ["orchestration"]
})
async def coordinator(request: dict):
# Discover available agents
text_agents = await nexusnet.find_agents("text-generation")
image_agents = await nexusnet.find_agents("image-generation")
# Delegate tasks to specialized agents
text_result = await text_agents[0].send({
"prompt": request["text_prompt"]
})
image_result = await image_agents[0].send({
"prompt": request["image_prompt"]
})
# Combine results
return {
"text": text_result["result"],
"image": image_result["result"]
}Agent-to-agent latency
Agents per network
Message delivery guarantee
Common Design Patterns
Proven architectures for multi-agent systems
Pipeline Pattern
Chain agents in sequence. Output of one becomes input of the next.
Data Extraction → Processing → Analysis → ReportFan-Out Pattern
Distribute a task to multiple agents in parallel for faster processing.
Coordinator → Worker1, Worker2, Worker3 → AggregatorHub-Spoke Pattern
Central coordinator delegates to specialized agents based on task type.
Router → TextAgent, ImageAgent, VideoAgentReal-World Applications
Companies building with NexusNet
Enterprise Document Processing
Insurance company uses NexusNet to process claims:
- • OCR Agent: Extracts text from documents
- • Classification Agent: Categorizes document types
- • Validation Agent: Verifies information
- • Risk Agent: Assesses claim risk
- • Approval Agent: Makes final decision
AI-Powered Customer Service
E-commerce platform with specialized support agents:
- • Triage Agent: Routes to specialized agents
- • Order Agent: Handles order inquiries
- • Product Agent: Answers product questions
- • Refund Agent: Processes returns
- • Escalation Agent: Handles complex cases
Data Analysis Pipeline
Financial firm analyzing market data:
- • Collection Agent: Gathers data from APIs
- • Cleaning Agent: Normalizes and validates
- • Analysis Agent: Runs statistical models
- • Visualization Agent: Creates charts
- • Report Agent: Generates final reports
Game AI Systems
Gaming studio with intelligent NPCs:
- • Behavior Agent: Controls NPC actions
- • Dialog Agent: Generates conversations
- • Quest Agent: Creates dynamic quests
- • Economy Agent: Manages in-game economy
- • World Agent: Simulates world events
Built for Scale
Enterprise-grade infrastructure
Message Broker
High-performance message queue with guaranteed delivery, ordering, and exactly-once semantics.
Service Registry
Distributed registry with health checking, automatic failover, and load balancing.
Workflow Engine
Stateful orchestration with retry logic, error handling, and visual workflow builder.
Build multi-agent systems today
Start creating intelligent systems where agents collaborate