nsflow - A FastAPI powered client and IDE for Neuro-San

A fastapi and react based developer-oriented client and IDE that enables users to explore, visualize, and interact with smart agent networks. It integrates with NeuroSan for intelligent agent-based interactions.

[!TIP] To see how nsflow works in conjunction with the neuro-san library, visit https://github.com/cognizant-ai-lab/neuro-san-studio [!TIP] For a production oriented client for neuro-san, visit https://github.com/cognizant-ai-lab/neuro-san-ui

Intro

nsflow comes with an Agent Network Designer that embodies the agentic design philosophy, making the neuro-san library accessible to both developers and non-developers alike. This transforms nsflow from a simple interactive chat client into a well-featured agent orchestration platform with visual design capabilities.

Project Snapshot

Enabling/Disabling text-to-speech and speech-to-text

For local development (when running the backend and frontend separately), you can toggle text-to-speech and speech-to-text by setting the VITE_USE_SPEECH variable in the nsflow/frontend/.env.development file to "true" or "false". The frontend development server reads this file directly.

Installation & Running nsflow

nsflow can be installed and run in two different ways:

1️⃣ Run nsflow using pypi package

To simplify execution, nsflow provides a CLI command to start both the backend and frontend simultaneously.

Step 1: Create and source a virtual environment

python -m venv .venv
source .venv/bin/activate

Step 2: Install nsflow from pip

pip install nsflow

Step 3: Run Everything with a Single Command

python -m nsflow.run

By default, this will start:

  • backend (FastAPI + NeuroSan) here: http://127.0.0.1:4173/docs or http://127.0.0.1:4173/redoc
  • frontend (React) here: http://127.0.0.1:4173

2️⃣ Development & Contribution (Manually Start Frontend & Backend)

If you want to contribute, ensure you have the necessary dependencies installed. To start the frontend and backend separately, follow these steps:

Step 1: Clone the Repository

git clone https://github.com/cognizant-ai-lab/nsflow.git
cd nsflow

Step 2: Install Dependencies

  • Make sure you have python (preferably Python 3.12) installed.

    python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
pip install -r requirements-build.txt

Step 3: Start the Backend in dev mode & Frontend separately

  • Ensure that you have a few example hocon files in your registries and the same mapped in registries/manifest.

  • [Optional] Ensure that you have the necessary coded tools in the coded_tools dir.

  • From the root start Backend:

    python -m nsflow.run --dev

  • Start Frontend:

    • Ensure that you have Node.js (with Yarn) installed.

    • Follow the instructions to setup the frontend here: ./nsflow/frontend/README.md

    • On another terminal window

      cd nsflow/frontend; yarn install
yarn dev

  • By default:

    • backend will be available at: http://127.0.0.1:8005
    • frontend will be available at: http://127.0.0.1:5173
    • You may change the host/port configs using environment variables for fastapi (refer run.py) and using frontend/.env.development for react app

Step 4

To make sure your changes to frontend take effect in the wheel, run the script

  • To build the Frontend

    sh build_scripts/build_frontend.sh

Note: The above script's output should show that ./nsflow dir contains a module prebuilt_frontend

  • To build and test the wheel locally

    sh build_scripts/build_wheel.sh

For using Text-to-Speech and Speech-to-Text

Prerequisite: install ffmpeg for text-to-speech and speech-to-text support

  • On Mac
brew install ffmpeg
  • On Linux
sudo apt install ffmpeg

Enabling Visual Question Answering (VQA) http endpoints

Follow these instructions

Connecting OAuth-protected MCP servers

Connect MCP servers that require OAuth (e.g. You.com, Linear, GitHub, Salesforce) from the Connectors tab — nsflow runs the OAuth flow, stores the tokens locally, and injects them into agent networks automatically. See these instructions.

Project links

Data verified by PyPI on Jul 22, 2026
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  • Released:
Newer release available (0.7.0)

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Credits

Author: Deepak

GitHub Statistics

Data verified by PyPI on Jul 22, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

Apache-2.0
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Requires

Python >=3.10

Tags

NsFlow NeuroSan agent-network

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