neuronum 2026.7.3

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 and agent-to-agent communication across businesses, partners, and customers. A session connects two parties to automate 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

Verify the connected Cell ID:

neuronum verify-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 on Neuronum using the following methods:

Method	Description
list_cells()	List all Neuronum Cells
list_sessions()	List your Secure Agent Sessions (SAS)
create_secure_agent_session(email or cell_id, instruct=None)	Create and invite to a session via email or cell_id, optionally setting agent instructions
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
upload_session_file(session_id, file_path, mime_type)	Upload a file to a session and send a file metadata message
download_session_file(session_id, file_id)	Download a file from a session by file ID. Returns raw bytes
sync_messages()	Receive messages from all sessions in real-time

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() as cell to connect. This reads your Cell credentials from ~/.neuronum/.env and establishes a connection to the Neuronum network at neuronum.net. Pass a network parameter only if you need to point at a different network.

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Quick Examples

List Cells

import asyncio
from neuronum import Cell

async def main():
    async with Cell() 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() 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() as cell:
        session = await cell.create_secure_agent_session(
            email="[e-mail]",  #or cell_id="acme.com::cell"
            instruct="Set specific goals, conversation context or further instructions"  #optional
        )
        print(session)

asyncio.run(main())

Send a message to a session

import asyncio
from neuronum import Cell

async def main():
    async with Cell() 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() as cell:
        messages = await cell.get_session_messages(session_id)
        print(messages)

asyncio.run(main())

Upload a file to a session

import asyncio
from neuronum import Cell

async def main():
    async with Cell(host="your-host") as cell:
        success = await cell.upload_session_file(
            "session_id",
            "/path/to/file.pdf",
            mime_type="application/pdf"
        )
        print(success)

asyncio.run(main())

Download a file from a session

The file_id is available in the file metadata message sent automatically after a successful upload. Retrieve it via get_session_messages from the file_id field.

import asyncio
from neuronum import Cell

async def main():
    async with Cell(host="your-host") as cell:
        file_bytes = await cell.download_session_file("session_id", "file_id")
        with open("output.pdf", "wb") as f:
            f.write(file_bytes)

asyncio.run(main())

Receive messages in real-time

import asyncio
from neuronum import Cell

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

asyncio.run(main())

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Elements

Elements are UI components rendered on the client's frontend. Pass an element key in any send_session_message call to trigger them.

Element	Description
confirm	Renders Accept / Decline buttons
choice	Renders a set of option buttons
input	Renders a single text input field
form	Renders a multi-field form
table	Renders a data table
card	Renders a composite card combining multiple elements
file	Renders a file upload prompt

Confirm

await cell.send_session_message(session_id, {
    "msg": "Do you accept the session terms?",
    "element": "confirm"
})

Choice

await cell.send_session_message(session_id, {
    "msg": "Which report format do you prefer?",
    "element": "choice",
    "choices": ["PDF", "CSV", "JSON"]
})

Input

await cell.send_session_message(session_id, {
    "msg": "What is your company name?",
    "element": "input",
    "placeholder": "e.g. Acme Corp"
})

Form

await cell.send_session_message(session_id, {
    "msg": "Tell us about yourself:",
    "element": "form",
    "fields": [
        {"name": "company",  "label": "Company",  "placeholder": "Acme Corp"},
        {"name": "role",     "label": "Role",      "placeholder": "CEO"},
        {"name": "teamsize", "label": "Team size", "placeholder": "50"}
    ]
})

Table

await cell.send_session_message(session_id, {
    "msg": "Here are the results:",
    "element": "table",
    "columns": ["Name", "Status", "Score"],
    "rows": [
        ["Alice", "Active", 92],
        ["Bob", "Inactive", 74],
        ["Carol", "Active", 88]
    ]
})

Card

A card combines multiple elements into a single message.

await cell.send_session_message(session_id, {
    "msg": "Review this proposal:",
    "element": "card",
    "components": [
        {"type": "table", "columns": ["Item", "Cost"], "rows": [["Dev", "$5k"], ["Design", "$2k"]]},
        {"type": "input", "name": "budget", "label": "Your budget", "placeholder": "$10,000"},
        {"type": "choice", "name": "timeline", "label": "Timeline", "choices": ["1 month", "3 months", "6 months"]},
        {"type": "confirm", "name": "approved", "label": "Do you approve?"}
    ]
})

File

Renders a file upload prompt on the client.

await cell.send_session_message(session_id, {
    "msg": "Please upload your contract:",
    "element": "file"
})

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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.