Shouldn't this be an add-on instead of a standalone app and therefore be a feature request, not in the app wishlist?

@timconsidine I believe https://canarytokens.org is self-hostable, so you don't have to give them your email address for an alert. https://github.com/thinkst/canarytokens https://github.com/thinkst/canarytokens-docker [image: 1769829589348-44935ba6-88b8-4271-bf11-ba480e47ce09-image-resized.png] Might be smart to have this, given the security considerations of having something like openclaw (clawdbot/moltbot) running.

@robi

Hello @timyau and welcome to the Cloudron Forum The Alternative to / Libhunt link is linking to alternatives for umap which seems incorrect. What does Onyx offer that is not already present in @openwebui?

@DualOSWinWiz said in Mesh Central - The open source, multi-platform, self-hosted, feature packed web site for remote device management.: I think tacticalrmm https://github.com/amidaware/tacticalrmm is a better qll in one solution it has messh and patch management as well i deployed it separately as it has 3 different apps. Api.xxx.xx , mesh.xxx.xx and rmm.xxx.xx and superadmin has to setup QR code while installation This looks like an Add-on to MeshCentral that I had not seen, Thanks. It seems to add patch management remote software installation/updating, and a few other things. I personally do not need those tools right now, but good to know! It does make it into a full corporate management solution. https://docs.tacticalrmm.com/ These are the main features I use - with overall network awareness. https://docs.tacticalrmm.com/mesh_integration/ This also says that docker installations are "unsupported". This does look like a good product that I will look into for future projects, but this does not seem like a Cloudron candidate right now.

Is there a demo somewhere? or a site using this "in the wild"? I would be interested in knowing a little bit more about this / see what it looks like.

@micmc someone with knowledge of the app would be very helpful to test it out - I'm not so familiar so half the battle is finding out what to test I think I held off pushing out the repo and docker image because of a couple of queries, and I find myself pulled (well, my fault entirely) between completion of 5-6 apps. Will try to get this out the door shortly. Any feedback you then have will be gratefully received.

Assessment: High Complexity / High Risk Packaging Unstract for Cloudron is feasible but presents significant architectural challenges, primarily due to its reliance on spawning dynamic Docker containers for tool execution ("Docker-in-Docker") and its microservices-oriented design. But, hey, never let a problem be a problem. I'm excited what Unstract could do in terms of solving manual business admin tasks. So investigating - it may turn out to be non-viable, but let's see.

Fantastic, @timconsidine ! Well done!

Needs teams features to be the most use for my needs. I saw that was planned, but them seemed to be Enterprise-only. Can you see any teams features in your instance @jodumont ?

I wait for Akkoma

@murgero https://forum.cloudron.io/topic/10465/xmpp-server-prosody/44?_=1769150280326 This is the best place to look. I've pushed a repo, I've made a docker image, and I've listed the steps I followed to set it up on my own server. It's been running for over 8 months now and I haven't had issues, other than the workarounds I have to do for Cloudron packaging limitations.

A small suggestion for formatting your wish list: --- ## **Title**: Flowise on Cloudron - Build AI Agents Visually *** * **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) *** * **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. *** * **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. *** * **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 *** **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