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Geoflow

Geoflow is a self-hostable, open-source content-operations application combining trusted knowledge, AI-assisted production, quality inspection, human review, multi-site distribution and analytics.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Geoflow — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Geoflow when content production, review, publishing and operational feedback need to remain in one self-hosted workflow, especially across organizational websites or multiple channels.

Who it is for

  • Enterprise website teams
  • Brand, growth and content teams
  • Organizations operating multiple brands or sites
  • Teams building internal content-operations workflows

Documented uses

  • Organize source knowledge and content-production materials.
  • Create AI-assisted drafts from managed knowledge and assets.
  • Apply evidence, citation, advertising and context-based quality checks before publication.
  • Route content through human review and retain audit information.
  • Distribute approved content to hosted sites, GEOFlow Agent, WordPress or HTTP API channels.
Before you choose

Requirements & limits

The repository identifies Geoflow as open source under AGPL-3.0. It documents self-hosted operation and a Docker Compose path, with PHP 8.3+, PostgreSQL, Redis and Node.js listed in the runtime requirements.

  • Whether the team can operate the documented PHP, PostgreSQL, Redis and Node.js environment.
  • Whether human review, quality gates and audit records are required before publication.
  • Whether distribution must cover hosted sites, GEOFlow Agent, WordPress REST or a general HTTP API.
  • Whether browser-assisted publishing and operator confirmation fit the team’s process.
  • Whether the AGPL-3.0 license and self-hosted operating model fit the project.

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

Start a local Docker development environment

Prepare a local Geoflow environment using the repository’s documented Docker setup.

Before you start

  • Git
  • Docker and Docker Compose
  • A checkout of the Geoflow repository

Steps

  1. Clone the Geoflow repository.

  2. Enter the repository directory.

  3. Copy .env.example to .env.

  4. Build the Docker Compose services.

  5. Start the services with Docker Compose in detached mode and remove orphaned containers.

Expected outcome

The documented Docker development or evaluation services are started locally.

Guide limitations

  • This is a setup recipe, not a production deployment procedure.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
1 October 2026
Original website title
yaojingang/GEOFlow · Official homepage title · retained in its source language
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