Grengin

Grengin is an open-source, self-hosted AI workspace designed for teams, providing a branded, multi-model chat interface with built-in governance, cost tracking, and user management. It supports popular AI models like OpenAI, Anthropic, and open-source alternatives, allowing organizations to bring their own API keys and keep data entirely private. Grengin runs in the user's own cloud environment, deployable in minutes via AWS or Azure Marketplace or directly from source, ensuring no data ever passes through Grengin's servers. The platform addresses enterprise pain points such as the high costs and seat minimums of ChatGPT Enterprise, the vendor lock-in of Microsoft Copilot, and the privacy risks of free AI tools. It eliminates the need for extensive DevOps expertise by offering a one-click deployment and intuitive admin dashboard for setting SSO, budgets, and usage policies. All features, including real-time cost analytics and audit trails, are available without per-seat software fees. Grengin is fully open source, with source code publicly available on GitHub for inspection and self-hosting. This transparency ensures no hidden data collection or training on business data. The project aims to democratize enterprise AI access, making it affordable and controllable for any organization, from startups to large enterprises.

Category: AI Assistant
Pricing: Unknown

Problem solved

Grengin provides teams with a secure, low-cost, and easy-to-deploy AI workspace that offers governance, multi-model access, and data privacy, overcoming the high costs, complexity, and privacy risks of existing enterprise AI solutions or DIY alternatives.

Use cases

Team AI collaboration with a shared, branded chat interface
Secure use of multiple AI models (OpenAI, Anthropic, open-source) without data leaks
Real-time AI cost tracking and budget control across departments
Self-hosted AI platform with SSO, user management, and audit trails
Quick deployment of an enterprise AI workspace from cloud marketplaces
Open-source alternative to ChatGPT Enterprise and Microsoft Copilot

Audience

Enterprise
Developers
ML Engineers
Data Scientists
Product Managers

Pros

Free and open source with no per-seat software fees
Supports multiple AI models, giving flexibility and cost savings
5-minute deployment from cloud marketplaces or self-hosting
Full data privacy with no training on business data
Built-in governance, budget controls, and audit trails

Cons

Requires self-hosting or a cloud account, not a fully managed SaaS
Initial setup may involve technical steps for SSO and API keys
Limited to AWS and Azure cloud marketplaces for one-click deploy
Relatively new project with potentially limited community support
No dedicated mobile or desktop apps, entirely browser-based

Official website: https://grengin.com/

Canonical LambdaBase page: https://www.lambdabase.com/tools/grengin

← Directory

Grengin

Unknown

• Updated Jul 26, 2026, 09:14 AM

Grengin is an open-source, self-hosted AI workspace designed for teams, providing a branded, multi-model chat interface with built-in governance, cost tracking, and user management.

Use Cases ▼

Team AI collaboration with a shared, branded chat interface

Secure use of multiple AI models (OpenAI, Anthropic, open-source) without data leaks

Real-time AI cost tracking and budget control across departments

Self-hosted AI platform with SSO, user management, and audit trails

Quick deployment of an enterprise AI workspace from cloud marketplaces

Open-source alternative to ChatGPT Enterprise and Microsoft Copilot

What Problem It Solves ▼

Key Features ▼

✓

Free and open source with no per-seat software fees

✓

Supports multiple AI models, giving flexibility and cost savings

✓

5-minute deployment from cloud marketplaces or self-hosting

✓

Full data privacy with no training on business data

✓

Built-in governance, budget controls, and audit trails

Overview

Full Description ▼

The platform addresses enterprise pain points such as the high costs and seat minimums of ChatGPT Enterprise, the vendor lock-in of Microsoft Copilot, and the privacy risks of free AI tools. It eliminates the need for extensive DevOps expertise by offering a one-click deployment and intuitive admin dashboard for setting SSO, budgets, and usage policies. All features, including real-time cost analytics and audit trails, are available without per-seat software fees.

Grengin is fully open source, with source code publicly available on GitHub for inspection and self-hosting. This transparency ensures no hidden data collection or training on business data. The project aims to democratize enterprise AI access, making it affordable and controllable for any organization, from startups to large enterprises.