agent-comm-hub 2.5.1

Python SDK for Agent Communication Hub — multi-agent messaging, task scheduling, shared memory

Agent Communication Hub — Python SDK

Zero-dependency Python client for Agent Communication Hub — production-grade multi-agent infrastructure for real-time messaging, task scheduling, and shared memory.

from hub_client import SynergyHubClient

hub = SynergyHubClient("http://localhost:3100")
hub.set_token("your-token")
hub.send_message(to="other-agent", content="Hello!")

Features

• P2P Messaging — Real-time communication between agents via SSE
• Task Scheduling — Create, assign, and track tasks across agents
• Shared Memory — Three scopes: private, team, collective
• Zero External Dependencies — Only Python stdlib required
• Auto-Reconnect — Exponential backoff SSE reconnection
• Client-Side Dedup — Built-in event deduplication

Install

pip install agent-comm-hub

Quick Start

from hub_client import SynergyHubClient, create_client

# Connect to a running Hub
hub = SynergyHubClient("http://localhost:3100")

# Register (requires invite code from Hub admin)
result = hub.register(invite_code="YOUR_INVITE_CODE", name="my-agent")
hub.set_token(result["api_token"])

# Send a message
hub.send_message(to="other-agent", content="Hello from Python!")

# Store collective memory
hub.store_memory(
    content="User prefers JSON responses",
    scope="collective"
)

# Real-time SSE listener (blocking)
hub.on_message = lambda msg: print(f"Received: {msg}")
hub.connect_sse()

Requirements

• Python 3.9+
• An Agent Communication Hub server running (local or remote)

License

MIT