Creed

Creed

e9b096d

Category: AI & Machine Learning

#ai#self-hosted#docker#creed
Deploy with tug.shWebsiteGitHubDocs

Overview

One personal context file every AI agent reads before answering and proposes updates to as it learns about you. Requires an external Supabase project (see instructions).

Primary Use Cases

1

Run private, self-hosted AI models and inference pipelines for Creed without sending data to third-party clouds.

2

Integrate with local LLM runners (Ollama, vLLM) and OpenAI-compatible API endpoints.

3

Build custom agentic workflows, document retrieval systems (RAG), and embeddings pipelines.

Key Features

  • Hardware acceleration support for CPU and GPU container workloads
  • Vector database compatibility for semantic search and knowledge bases
  • Modern web UI with multi-user access and API key management
  • 1-click Docker deployment with automated HTTPS reverse proxy in tug.sh

Container Specification

Docker Image

creed:latest

Default Version

e9b096d

SSL & Domain Routing

Automated Let's Encrypt (Caddy / Traefik)

Persistent Volumes

Managed host volume mounts

How to Deploy Creed with tug.sh

1

Connect your Linux server

Run the 1-line tug.sh agent install command on any Ubuntu, Debian, or Rocky Linux VPS.

2

Select Creed from the Marketplace

Pick your domain name, configure custom environment variables if needed, and choose your persistent storage folder.

3

Click Deploy & Go Live

tug.sh pulls the container, sets up HTTPS certificates, configures the reverse proxy, and boots the service in under 60 seconds.

Deploy on Your Server

Experience effortless self-hosting. Deploy Creed on Hetzner, DigitalOcean, or your home lab with zero maintenance headaches.

Join Waitlist to DeployView Setup Documentation
LicenseOpen Source
Platform Cost100% Free for 1st VPS
CategoryAI & Machine Learning
Resources
Official WebsiteSource CodeDocumentation

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