neuronum 2026.6.8

Neuronum SDK

Neuronum SDK

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About

Neuronum is built around the Secure Agent Session (SAS). An end-to-end encrypted channel designed for agent-to-client communication across businesses, partners, and customers. A session connects two parties and lets the host's agent handle data exchange, take actions, and coordinate tasks without manual integration, custom APIs, or file transfers.

The SDK handles encryption, identity, and delivery. You write the agent logic.

⚠️ Development Status: The Neuronum SDK is currently in beta and is not production-ready. It is intended for development, testing, and experimental purposes only. Do not use in production environments or for critical applications.

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Requirements

• Python >= 3.8

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Installation

Set up and activate a virtual environment:

python3 -m venv ~/neuronum-venv
source ~/neuronum-venv/bin/activate

Install the Neuronum SDK:

pip install neuronum

Note: Always activate this virtual environment (source ~/neuronum-venv/bin/activate) before running any neuronum commands.

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Cell

A Cell is your address used to send and receive data on the Neuronum network. You can think of it like a unique digital identity.

Example IDs: acme.com::cell [e-mail]::cell

Create a Cell:

neuronum create-cell

This generates your Cell ID, public/private key pair, and a 12-word mnemonic recovery phrase. Your Cell credentials are stored locally at ~/.neuronum/.env.

Connect your Cell to a device using your 12-word mnemonic:

neuronum connect-cell

View the connected Cell ID:

neuronum view-cell

Disconnect Cell credentials from this device:

neuronum disconnect-cell

Delete your Cell permanently from the network:

neuronum delete-cell

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Methods

Cells interact using five methods:

Method	Description
list_cells()	List all Neuronum Cells
list_sessions()	List your Secure Agent Sessions (SAS)
create_secure_agent_session(instruct, email)	Set agent instructions, create and invite to a session via email
send_session_message(session_id, data)	Send an encrypted message to a session
get_session_messages(session_id)	Fetch and decrypt messages from a session
sync_messages()	Receive real-time messages from all sessions

All data is end-to-end encrypted. The network handles routing, key exchange, and delivery. You just send and receive.

Connecting to the network: Use async with Cell(network="testnet.neuronum.net") as cell to connect. This reads your Cell credentials from ~/.neuronum/.env and establishes a connection to the specified Neuronum network. Omitting the network parameter defaults to testnet.neuronum.net.

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Quick Examples

List Cells

import asyncio
from neuronum import Cell

async def main():
    async with Cell(network="testnet.neuronum.net") as cell:
        cells = await cell.list_cells()
        print(cells)

asyncio.run(main())

List Sessions

import asyncio
from neuronum import Cell

async def main():
    async with Cell(network="testnet.neuronum.net") as cell:
        sessions = await cell.list_sessions()
        print(sessions)

asyncio.run(main())

Create a Secure Agent Session

import asyncio
from neuronum import Cell

async def main():
    async with Cell(network="testnet.neuronum.net") as cell:
        session = await cell.create_secure_agent_session(
            instruct="Set specific goals, conversation context or further instructions"
            email="[e-mail]"
        )
        print(session)

asyncio.run(main())

Send a message to a session

import asyncio
from neuronum import Cell

async def main():
    async with Cell(network="testnet.neuronum.net") as cell:
        success = await cell.send_session_message(
            "session_id",
            {"msg": "Hello"}
        )
        print(success)

asyncio.run(main())

Fetch messages from a session

import asyncio
from neuronum import Cell

async def main():
    async with Cell(network="testnet.neuronum.net") as cell:
        messages = await cell.get_session_messages(session_id)
        print(messages)

asyncio.run(main())

Receive real-time messages from all sessions

import asyncio
from neuronum import Cell

async def main():
    async with Cell(network="testnet.neuronum.net") as cell:
        async for message in cell.sync_messages():
            print(message["session_id"], message["sender"], message["data"])

asyncio.run(main())

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Neuronum MCP Server

neuronum neuronum start-mcp

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Full Documentation

For the complete SDK reference including the E2EE protocol, visit the Neuronum Docs.