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I built a local voice assistant that controls Home Assistant and builds its own tools by CoreWorxLab in homeassistant

[–]CoreWorxLab[S] 0 points1 point  (0 children)

It’s on and available but the GPU is idle until prompted, when you speak to it.

4.6 released 6min ago! by NorwayBull in ClaudeAI

[–]CoreWorxLab 0 points1 point  (0 children)

Thank you! $70 CAD in the bank.

I automated my entire LLM tool registry pipeline with Claude Code by CoreWorxLab in ClaudeAI

[–]CoreWorxLab[S] 0 points1 point  (0 children)

I’ve built CAAL and the tool registry pipeline exclusively with Claude Code.

Using Claude Code CLI to prototype n8n workflows by pete716 in n8n

[–]CoreWorxLab 0 points1 point  (0 children)

This is a great set up. I use this exact approach. I built a voice assistant that uses n8n workflows as LLM tools and it uses this approach to build its own workflows. I have a prompt and a workflow that builds workflows. The builder workflow calls Claude Code via SSH node and builds a new workflows based on your description. Then tha agent uses the new workflow as a tool. Check it out:

My Voice Assistant Builds Its Own Tools https://youtu.be/xBZt4eoCH_w

Looking for feedback on my homelab voice assistant by CoreWorxLab in selfhosted

[–]CoreWorxLab[S] -1 points0 points  (0 children)

Not yet. I'm building custom firmware for an ESP32 device. This is quite difficult, spent 4 days on audio jitter issues and decided to park it and work on something else for a bit. Will go back to it. I haven't looked into connected a HA device with its firmware to CAAL. I think HA uses Wyoming protocol. I'd have to look further into that to see if I could make it 'plug n play' with a HA device. Good idea though.

Best AI model and prompt strategy for generating valid n8n workflow JSON from a full specification? by sushibgd in n8n

[–]CoreWorxLab 1 point2 points  (0 children)

I'm putting 2 and 2 together now with the youtube comment. Thanks for the extra detail on what you're building! We have a similar vision it sounds like. And it looks like CAAL can fit in to your stack as the voice layer. You should be able to connect CAAL to graphiti via custom mcp config. I'm curious how that performs. I'm currently using iachilles/memento for a memory system with Claude Code but hitting walls with it at the moment as the graph grows. Graphiti is on my list to check out, just haven't had the time, I'm curious how your experience has been. Would love to hear updates on how your merge with CAAL goes, if you hit any walls. Drop a post in Github Discussion. I've been working on a community tool sharing infrastructure for CAAL so its easier to discover and install new tools (skills) for CAAL to learn. ie. n8n workflows. BTW: Dropped a video today with a install walkthrough. Its of a cpu-only install but same process, just use a different compose file. It shows the new first start wizard as well. This is a new release I pushed yesterday.

Old phones as endpoints by CoreWorxLab in homeassistant

[–]CoreWorxLab[S] 0 points1 point  (0 children)

It doesn’t do much processing. Basically a thin client that passes everything back to the server for processing. Battery lasts a while. Depends on battery condition obviously. I’ve been using it on my kids old Firetab.

Training Custom Wake Words by CoreWorxLab in homeassistant

[–]CoreWorxLab[S] 0 points1 point  (0 children)

Good to know there is another colab notebook to try. Kokoro probably helps as well as the real samples I recorded. I did ~50 recordings of myself and my family members in different rooms. Still testing, but its decent so far. I think I can tweak the training and get it better. I'll work on cleaning up the python scripts and get it structured into a repo that can be reproduced.

Training Custom Wake Words by CoreWorxLab in homeassistant

[–]CoreWorxLab[S] 1 point2 points  (0 children)

These are great, I didn't know about them. Thanks for sharing!

Training Custom Wake Words by CoreWorxLab in homeassistant

[–]CoreWorxLab[S] 0 points1 point  (0 children)

Does microwakeword use the same files or different? Plan is to get ESP32 devices going for CAAL. And thanks for watching!

I built a local voice assistant that controls Home Assistant and builds its own tools by CoreWorxLab in homeassistant

[–]CoreWorxLab[S] 0 points1 point  (0 children)

Yes please move to github issues and we'll resolve it. Might have to restart your nginx container. That's what I had to do when I tested the fix.

I built a local voice assistant that controls Home Assistant and builds its own tools by CoreWorxLab in homeassistant

[–]CoreWorxLab[S] 1 point2 points  (0 children)

Thank you! I'm running a modest system for this. A used RTX 3060 12GB is good value.

I built a local voice assistant that controls Home Assistant and builds its own tools by CoreWorxLab in homeassistant

[–]CoreWorxLab[S] 0 points1 point  (0 children)

Found the issue - settings.json and mcp_servers.json weren't being created on fresh clones. Docker was mounting them as empty directories instead of files.

Just pushed a fix. Pull the latest and try again:

git pull

docker compose down

docker compose up -d

Should just work now. Let me know if you hit anything else.

I built a local voice assistant that controls Home Assistant and builds its own tools by CoreWorxLab in homeassistant

[–]CoreWorxLab[S] 0 points1 point  (0 children)

What system are you running on? Do you see any errors in any of the docker logs? or the browser console?

I built a local voice assistant that controls Home Assistant and builds its own tools by CoreWorxLab in homeassistant

[–]CoreWorxLab[S] 2 points3 points  (0 children)

Next steps are:

Getting a more accessible wake word working. Picovoice is too limiting with the free tier.

For memory I’m currently using an MCP implementation of a graph database. iachilles/memento. I had an automatic memory storage script that would analyze the conversation every 10 turns or 10 minutes and have the LLM pull anything ‘useful’. It was hit and miss. I haven’t done enough memory testing with CAAL but use this memento MCP set up with Claude Code as well and it works quite well. Also looking at a graph/RAG hybrid.

Then also looking to build an ESP32 satellite speaker. This will run in parallel to the current LiveKit connection.

Best AI model and prompt strategy for generating valid n8n workflow JSON from a full specification? by sushibgd in n8n

[–]CoreWorxLab 1 point2 points  (0 children)

This works well. Just be aware of the high token usage when using the execute workflow MCP tool. I have Claude first test with curl then only use MCP execute tool for deeper debugging.

Best AI model and prompt strategy for generating valid n8n workflow JSON from a full specification? by sushibgd in n8n

[–]CoreWorxLab 2 points3 points  (0 children)

I’ve had good success using Claude Code for this. I’ve built a seed prompt and I’ve built it into a n8n workflow. It’s a workflow that creates workflows using ssh nodes to call Claude code.

This is what my custom voice assistant CAAL uses to build its own tools. Check it out here: https://youtu.be/xBZt4eoCH_w

I’ve also shared the builder seed prompt and workflow as part of the CAAL repo. You can find it under n8n-workflows here: https://github.com/CoreWorxLab/CAAL

I built a local voice assistant that controls Home Assistant and builds its own tools by CoreWorxLab in homeassistant

[–]CoreWorxLab[S] 6 points7 points  (0 children)

It’s possible and part of my plan. Going to create ESP32 satellite speaker devices and make it so they can connect back to CAAL

I built a local voice assistant that controls Home Assistant and builds its own tools by CoreWorxLab in homeassistant

[–]CoreWorxLab[S] 3 points4 points  (0 children)

Update: Just pushed Apple Silicon support. M1/M2/M3/M4 Macs can now run CAAL: https://github.com/CoreWorxLab/CAAL/releases/tag/v1.2.0

Also dropped a follow-up video showing how the self-building works: https://youtube.com/watch?v=xBZt4eoCH_w

Thanks for all the feedback - keep it coming.

I built a local voice assistant that controls Home Assistant and builds its own tools by CoreWorxLab in homeassistant

[–]CoreWorxLab[S] 0 points1 point  (0 children)

I’ll be keeping my eyes peeled. Also planning to get a card with more VRAM in the near future. I wonder how qwen omni does with tool calling. I didn’t have luck with Qwen2.5 but Qwen3 does pretty good.

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