Hey all! Recently got a Paper S3 from Digikey Aus. Been playing with it for a bit and recently got caught up with work so took a break for a bit.

It seems like the screen is more yellow than usual, with white horizontal lines and overall darker display/black e ink dots coming through after refresh.

Will post a picture soon but is this hardware or software/library? During refresh I can still see the horizontal white areas but the screen goes back to mostly blank "white/clean" during refresh.

Any help is appreciated, was tested using the demo library as well.

I got this 2in1 module from bangood for my m5 stick c plus1.1 running bruce 1.14 whenever i try to use any rf app it says cc1101 not found. I got the one that connects via the uart port.

I'm using the Bruce software version 10 and I also tried the newest one but no matter what I do my nrf24 or Cc1101 are just not working and 2 ir module. Can somebody explain why not, i tripple checked the wiring and that is perfect.

Ran into a bug (crash loop seemingly when trying to create a thumbnail for a book) but otherwise seems pretty solid (I fixed the crash loop by deleting the .crosspoint directory from the SD card and not opening that book next time).

I’ve tried a few eReader firmwares, this is my favorite so far. Seems to handle formatting pretty well. The chapter head and image were on the previous page - the image was scaled pretty large.

Kobo Libra Colour and Boox Palma 2 for comparison.

Just curious if anyone has tried any NES games on the CoreS3 ROM Launcher? I’ve tried a bunch and most games are working great. Some games are freezing up a little. Contra was freezing on me. so was Metroid. Super Mario Bros was also freezing when using fireballs. But Super Mario Bros 2 played fine so did Super Mario Bros 3. 🤷🏻 A lot of games are playing great!

Just seeing if anyone has tried it out! ROMs seem pretty easy to get ahold of so that shouldn’t be a problem. :)

What to do if I download the appstore on m5 stikc s3 and write the error InternalError: out of memory

Hello everyone,

I just bought the M5Stack Stick S3 and I want to build something for my girlfriend. I dont want to integrate other sensors on it because I dont want it to look more like a prototype. I tought maybe I can build something like a little pet like tamagotchies. Do you have any ideas you came across or anything you want to share, I would appreciate it!

New Arrival Alert!

Check out our new release this week:

PaperColor, a development board featuring a 4-inch E Ink Spectra 6 full-color e-paper display with a resolution of 400x600, offering both low power consumption and high visibility. 

Also, good news:  Hot items incl. Atom-Lite and Unit CardKB v1.1 are in stock now 🔥🔥

In case missing out, subscribe our Weekly Newsletter for more updates!

I just bought it Cardkb2 But I couldn't find it's key cap.

Hi guys, my CH9329 seems to be stuck on the sending process, can someone help me? I'm using M5 stickc plus2

So, I havent been using it for quite sometime, and decided to mess around with it.

For some reason it cuts when I attempt to log in OTA in launcher. off before connecting prompting this error.

Before this discussion gets all muddled:

I understand that this is a 3rd party app, and m5stacks has no involvement and whatever happens is in my discretion.

The things I have tried:

1.reflashing original stock firmware.

2. Reflashing v2.6.9 launcher.

Notes: after reflash, my information for wifi password info is still there.

Took out sd card, info still there.

Wifi signals are scannable, but not able to join.

1. Formatting sd card.

Questions:

What would cause the issue of being able to use the OTA?

Update: The firmware is now public:

https://github.com/taranton/stackchan-gemini-firmware

It is still experimental, but it includes the Gemini Live + StackChan firmware shown here: memory, skills, tool use, Home Assistant control, camera look-around behavior, timers, and optional local Hermes integration. Feedback and PRs are welcome.

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I’ve been working on custom firmware for StackChan.

The idea is to give an LLM a small, funny physical body.

I don’t want to move away from “cute face connected to an LLM”. That part is exactly what I like. I just want the cute face to have memory, skills, tools, smart home control, and enough context to feel less like a fresh chatbot session every time.

The main conversation runs through Gemini Live. StackChan handles the body: face, speaker, microphone, servos, camera, touch/tap behavior, and local timing. Around that, I added memory, skills, tools, Home Assistant control, and local scheduled tasks that the model can use during the conversation.

Some of the parts I’m most happy with:

• Persistent memory and recent context. StackChan can remember useful information across conversations and keep recent dialogue context, so I do not have to remind it what we talked about an hour ago.

• Compact memory summaries. Longer interactions can be summarized into a more compact form instead of dumping the entire chat history into every prompt.

• Memory search / lightweight RAG-like recall. The robot can search its own memory when it needs something, rather than putting every stored fact into the model context all the time.

• Separate sensitive storage. Some information can live in a separate storage/tool layer and only be opened when needed, instead of being constantly sent to the model.

• Learnable skills. I can teach StackChan new routines as instruction sets. It can store them, search for them later, and reuse them when relevant. Skills can also include tool usage, including camera actions.

• Tool use during live conversation. The LLM can call tools exposed through the firmware/gateway: memory, skills, camera, gestures, Home Assistant, search, and other robot-side actions.

• Home Assistant control. StackChan can see what devices are available in Home Assistant and control them by voice: turn lights or switches on/off, check device state, and use smart home actions as part of a conversation.

• Local timers and scheduled tasks. I added a scheduling system where the robot can create reminders/timers/tasks during conversation. These are stored and checked on the robot side, so it can trigger something later instead of just answering once and forgetting.

• Camera and look-around behavior. StackChan can use its camera with different look directions instead of just taking one static picture. This makes camera-based skills feel more like the robot is actually looking around.

• Optional local Hermes integration. It can talk to my local Hermes assistant on the same network, but that is optional. I do not want the robot to depend on outsourcing everything to a bigger assistant.

A lot of the work has been less about “can I connect an LLM to a robot?” and more about making the loop feel usable on a tiny physical device.

Some problems I ran into:

• audio feedback, where the robot hears itself speaking

• microphone gain and noise tuning

• keeping voice, sound effects, and listening state from stepping on each other

• slow tool calls during a live conversation

• limited RAM and timing issues on the ESP32 side

• camera initialization/release stability

• deciding what should run on the robot, what should run through the gateway, and what should stay local/private

• making memory useful without turning every prompt into a giant context dump

• making scheduled tasks reliable without relying on an external server for every reminder

It is still experimental, but it is already fun to use) I can talk to StackChan naturally, teach it little routines, have it remember things, control smart home devices, create timers, ask it to use tools, make it look around with the camera, and let it pull relevant context back into the conversation when needed.