SuperPortia Agentic AI Platform

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with SuperPortia

Everything you need to operate your multi-agent team. From first agent to production.

▶ Getting Started 📋 Specifications 🏗 Architecture

Python
TypeScript
Bash
MCP

from superportia import AgentClient

client = AgentClient()

# Search the Universal Brain
results = client.search_brain(
    query="fleet deployment architecture"
)

# Create a work order
wo = client.create_work_order(
    title="[SS1-Ops] Deploy new MCP server",
    assignee="Mac CLI 小克",
    project="SS1",
    priority="high"
)

print(f"WO created: {wo.order_id}")

import { AgentClient } from 'superportia';

const client = new AgentClient();

// Search the Universal Brain
const results = await client.searchBrain({
  query: "fleet deployment architecture"
});

// Create a work order
const wo = await client.createWorkOrder({
  title: "[SS1-Ops] Deploy new MCP server",
  assignee: "Mac CLI 小克",
  project: "SS1",
  priority: "high"
});

console.log(`WO created: ${wo.orderId}`);

# Search the Universal Brain
curl -X POST https://ub.superportia.dev/brain/search \
  -H "Content-Type: application/json" \
  -d '{"query": "fleet deployment architecture"}'

# Create a work order
curl -X POST https://ub.superportia.dev/wo/create \
  -H "Content-Type: application/json" \
  -d '{
    "title": "[SS1-Ops] Deploy new MCP server",
    "assignee": "Mac CLI 小克",
    "project": "SS1",
    "priority": "high"
  }'

{
  "tool": "search_brain",
  "arguments": {
    "query": "fleet deployment architecture"
  }
}

{
  "tool": "create_work_order",
  "arguments": {
    "title": "[SS1-Ops] Deploy new MCP server",
    "assignee": "Mac CLI 小克",
    "project": "SS1",
    "priority": "high"
  }
}

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Build your own agent loop. You control every node, manage state graphs, and wire your own tools. Full autonomy with LangGraph's composable architecture.

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