Cloudron Forum

• • Title: Open Notebook AI on Cloudron - Open source AI-powered notebook for knowledge management

• • Main Page: https://opennotebook.ai
• • Git: https://github.com/lfnovo/open-notebook
• • Licence: MIT License
• • Dockerfile: Yes (Available in the repository)
• • Demo: None currently listed publicly

• • Summary: Open Notebook AI is an open-source, AI-first note-taking application designed to help users capture, organize, and synthesize their thoughts. It integrates large language models (LLMs) directly into the writing workflow, offering features like auto-tagging, semantic search, and AI-assisted writing and summarization. It aims to be a self-hosted alternative to tools like NotebookLM.

• • Notes: I would like to see this on Cloudron because it provides a powerful, privacy-focused way to leverage AI for personal knowledge management without relying on SaaS platforms that might use my data. It supports local LLMs (via Ollama) and external APIs (OpenAI/Anthropic), making it flexible for self-hosters.

• • Alternative to / Libhunt link: Google NotebookLM, Obsidian (with plugins), Notion AI.
• • Screenshots: ![alt text]()
    

Many local companies are adopting it, any news about being added?

@doodlemania2
It would be wonderful if you could.

A small suggestion for formatting your wish list:

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## **Title**: Flowise on Cloudron - Build AI Agents Visually

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* **Main Page**: https://flowiseai.com
* **Git**: https://github.com/FlowiseAI/Flowise
* **Licence**: Apache License Version 2.0
* **Dockerfile**: Yes
* **Demo**: https://flowiseai.com (Free tier available with 2 flows)

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* **Summary**: Flowise is an open-source generative AI development platform that enables building AI agents and LLM (Large Language Model) applications visually, without coding. The tool offers a drag-and-drop interface to create custom workflows, integration with various LLM providers (OpenAI, Anthropic, Azure, etc.), RAG (Retrieval-Augmented Generation) support, conversational memory management, and multi-tool agent capabilities. It features a modular architecture with Node.js backend, React frontend, and third-party integration components.

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* **Notes**: Flowise is an excellent alternative for those looking to implement AI solutions without complex programming. It offers advanced features such as Document Stores, vector databases (Pinecone, Qdrant, Chroma, etc.), response streaming, and monitoring with OpenTelemetry/Prometheus/Grafana. Supports deployment via Docker, Docker Compose, and includes Redis queue configuration for scalability. The community is active with over 21 contributors to the main repository. Concerns include managing credentials for external APIs and the need for proper storage configuration for data persistence.

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* **Alternative to / Libhunt link**: https://www.libhunt.com/r/Flowise

* **Screenshots**: 
  - Official logo: https://github.com/FlowiseAI/Flowise/blob/main/images/flowise.png
  - Demo GIF: https://github.com/FlowiseAI/Flowise/blob/main/images/flowise_agentflow.gif
  - Additional screenshots available in the GitHub repository and official documentation

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**Additional Technical Information:**
- Default port: 3000
- Supports SQLite, MySQL, PostgreSQL as database
- Storage: Local, AWS S3, Google Cloud Storage
- Requires Node.js 18.15.0 or higher
- Available on Docker Hub as official image