Hey folks, I am the core maintainer of Sitepins CMS. I want to know if anyone is using it?
It was closed source before, but recently we decide to make it open source under AGPL v3 license.
If you are using it, you can give me feedback, and if you haven’t explored it yet, you should give it a try.
Hi all,
If you’ve been looking for a way to run the Hermes Agent by Nous Research without paying for hosting or keeping your local machine on 24/7, check this out.
I created a repository that lets you deploy the full Hermes core (with its self-improving learning loop) directly to a Hugging Face Space using the Docker SDK. It’s a great way to have a "digital employee" running in the background for free.
Repo: https://github.com/somratpro/huggingmes
Setup Guide: https://www.youtube.com/watch?v=kagB1ID-NtE
Hey everyone,
I’ve been a developer for 8 years and noticed how frustrating it is to host personal automation agents. Even with a cheap VPS, you often still need to deal with domain setups and technical hurdles that aren't beginner-friendly.
I found that Hugging Face offers a generous free tier (2vCPU and 16GB RAM), so I built a series of open-source tools to help you utilize it easily:
These projects are completely free and open-source. They bypass the need for a monthly VPS subscription or a custom domain.
Hi n8n community!
I’ve seen a lot of people asking about low-cost or free hosting options lately. I just finished a repository that makes it super simple to run n8n on Hugging Face Spaces via Docker. And I name it Hugging8n
The Setup:
Code/Repo:https://github.com/somratpro/Hugging8N
Video Walkthrough:https://youtu.be/cfMruo5dlF8
I’ve been running my personal workflows this way for a while, and it's surprisingly stable. If you’re looking for a sandbox or a way to host small-scale automations without a VPS, give it a shot!
Hey folks,
I just released HuggingClaw, a Docker template that lets you run a persistent AI assistant on HuggingFace Spaces with zero infrastructure costs.
The Problem
* Most AI assistants are cloud-first and expensive: You're stuck using someone else's API with latency and rate limits.
* Management Overhead: Running your own usually requires managing servers, crons, and backups.
What HuggingClaw Does
* Model Agnostic: Works with any LLM (Claude, GPT-4, Gemini, etc.).
* Always-On Access: Connects via Telegram.
* Built-in Backups: Auto-syncs your workspace to HF Datasets.
* Reliability: Built-in keep-alive so HF Spaces doesn't sleep on you.
* Self-Contained: Zero external dependencies—runs entirely on HF infrastructure.
Quick Setup
* Duplicate the Space on HF.
* Add 2 secrets (API key + Telegram token).
* Done. It runs forever.
Features
* Automatic workspace backup + restore
* Telegram integration with multi-user support
* Health monitoring (/health endpoint)
* Graceful shutdown (saves workspace before exit)
* Version pinning for stability
GitHub: https://github.com/somratpro/HuggingClaw
Docs are in the README with a full config reference. This is built on OpenClaw, so you get all the agent/MCP tooling out of the box.
Feedback welcome—this is still v1, so let me know what breaks or what features would help!
