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Gaianet Node

An open-source Shell-based repository for installing, running and deploying a self-hosted decentralized AI agent service as a GaiaNet node.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Gaianet Node — OpenViST project profile in Agent Infrastructure.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when the task requires a self-hosted, command-line-managed node for a decentralized AI agent service, especially when the model or knowledge base should be selected through configuration.

Who it is for

  • Developers building or testing self-hosted decentralized AI agents.
  • Operators deploying an agent node for chatbot interactions.
  • Users experimenting with configurable model, knowledge-base and MCP-related agent services.

Documented uses

  • Install the GaiaNet node software stack.
  • Initialize model and vector database files from a node configuration.
  • Start and stop a local agent node.
  • Deploy a node with a preset or user-provided configuration.
  • Open the printed node address to inspect the node and chat with its AI agent.
Before you choose

Requirements & limits

The repository is public and lists a GPL-3.0 license.

  • The documented setup is command-line based and server-oriented.
  • Initialization downloads model and vector database files, which may be large and take several minutes.
  • Preset configurations and a URL to a custom config.json are supported.
  • The installer can use an alternative base directory.
  • The repository topics identify Ethereum and MCP alongside decentralized AI agents and chatbots, but the supplied documentation does not detail their implementation.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install, initialize and start a GaiaNet node

Set up the default node stack, initialize its model and vector data, and start the agent service.

Before you start

  • A Mac, Linux or Windows WSL environment.
  • A shell capable of running the documented installer command.
  • Sufficient time and storage for model and vector database downloads.

Steps

  1. Run the documented installer command for the default node stack and follow the prompt to set up the environment path.

  2. Run gaianet init to download the configured model and vector database files and initialize the node.

  3. Run gaianet start to start the node.

  4. Open the official node address printed in the console to view node information and chat with the agent.

  5. Run gaianet stop when the node should be stopped.

Expected outcome

A running GaiaNet node with a browser-accessible node address for information and chatbot interaction.

Guide limitations

  • Initialization may take several minutes because the downloaded files are large.
  • This recipe follows the default configuration; custom configurations require a separate config.json URL or preset.
  • The documented workflow does not establish the node’s internal architecture or broader interface behavior.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
1 October 2026
Original website title
GaiaNet-AI/gaianet-node · Official homepage title · retained in its source language
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