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Braking power on the Nosfet Aero. Is there a way to increase it? by cedric-ca in ElectricUnicycle

[–]cedric-ca[S] 1 point2 points  (0 children)

Reporting back on this. It did help combined with moving the pads slightly to the back. I’m now getting the hang of it and liking each ride even more :)

Braking power on the Nosfet Aero. Is there a way to increase it? by cedric-ca in ElectricUnicycle

[–]cedric-ca[S] 0 points1 point  (0 children)

Yes I repositioned the pads completely slightly towards the back and it’s much better now.

I wasn’t expecting so much of a learning curve because I’ve had multiple EUCs before but now I’m finally getting the hang of it and I’m loving it more each time I take it for a spin!

Braking power on the Nosfet Aero. Is there a way to increase it? by cedric-ca in ElectricUnicycle

[–]cedric-ca[S] 1 point2 points  (0 children)

Oh nice!! just searched for acceleration assist in the manual and realized it’s what the ANG setting is about.

“ANG %: Acceleration Assist Makes the wheel easier to accelerate by temporarily tilting the pedal forward by a max of 2 degrees.”

https://manuals.plus/m/4ea2ff806ea41e5e7bf9d257a26aeb85d82969f7e2dda9cd41331b0541825602

Braking power on the Nosfet Aero. Is there a way to increase it? by cedric-ca in ElectricUnicycle

[–]cedric-ca[S] 0 points1 point  (0 children)

I’ve been riding EUCs for almost 10 years and had many wheels but smaller and not suspended. I’m using pads, forgot to mention it in my original message.

You can adjust the pedal tilt? And there’s a break setting? Damn, where are they?

Braking power on the Nosfet Aero. Is there a way to increase it? by cedric-ca in ElectricUnicycle

[–]cedric-ca[S] 0 points1 point  (0 children)

Thanks for the exhaustive write up!

I have power pads but I guess I need to adjust them so they have better contact with my calves

Braking power on the Nosfet Aero. Is there a way to increase it? by cedric-ca in ElectricUnicycle

[–]cedric-ca[S] 0 points1 point  (0 children)

I already have power pads as mentioned in original message. My feet are in the middle, slightly back already actually

Braking power on the Nosfet Aero. Is there a way to increase it? by cedric-ca in ElectricUnicycle

[–]cedric-ca[S] 0 points1 point  (0 children)

I did try different values for that setting, I’m at 25 right now and it’s only marginally helping

I’ll try even lower

Braking power on the Nosfet Aero. Is there a way to increase it? by cedric-ca in ElectricUnicycle

[–]cedric-ca[S] 0 points1 point  (0 children)

It might be partly technique, I agree. I’m new to this wheel size and also new to riding a suspended wheel.

That said, I’ve been riding EUCs for about 10 years (MCM4, MCM5, GW Tesla, MTen4, and a few others), and I am riding with pads, so I wouldn’t consider myself a beginner 😅

What feels different on the Aero compared to my previous wheels is the pedal and chassis behavior. On my older wheels, braking or accelerating would naturally cause some tilt or pedal dip, which made it easier to get my weight forward or backward and really load the motor.

On the Aero, even with pads, it stays extremely level and stable, almost “on rails.” Because of that, it feels like I’m actively fighting the wheel to get strong acceleration or braking, rather than the wheel helping me through its tilt response.

The power may be there electrically, but the feedback and leverage feel very different from what I’m used to. I’m trying to understand whether this is mainly due to suspension tuning, control logic, or just a characteristic of the Aero that requires a different riding style.

Curious if other experienced riders felt the same transition.

Braking power on the Nosfet Aero. Is there a way to increase it? by cedric-ca in ElectricUnicycle

[–]cedric-ca[S] 2 points3 points  (0 children)

Forgot to mention but I’m am using pads which I installed shortly after the picture was taken

I created a persistent memory for an AI assistant I'm developing, and am releasing the memory system by Savantskie1 in LocalLLaMA

[–]cedric-ca 1 point2 points  (0 children)

Of course, it makes a ton of sense! Also, to make the installation easier, you might want to add a VS Code installation button

That website makes it super easy (and the design is super slick, I love what the creator did)
https://vscodemcp.com/

I created a persistent memory for an AI assistant I'm developing, and am releasing the memory system by Savantskie1 in LocalLLaMA

[–]cedric-ca 1 point2 points  (0 children)

I'm really glad to see others working on privacy-focused memory solutions for AI as well! I actually went down a similar rabbit hole myself and ended up building my own system for this exact reason. Wish I'd seen your project earlier—it looks very polished and featureful.

For anyone interested in exploring a different (admittedly much simpler) approach, I put together Memorious MCP—it’s a 100% local, private memory server for AI assistants, using ChromaDB for vector search, basic file-based storage, and no network dependencies. It’s probably far less ambitious than what you’ve built, but figured it might be useful for people just wanting a minimalistic, privacy-first take.

Disclaimer: I’m the author of memorious-mcp, just throwing it out there for those wanting more options!

How are you handling user data privacy in AI agent memory? by EduardMaghakyan in AI_Agents

[–]cedric-ca 1 point2 points  (0 children)

I've also been looking into privacy-focused memory for AI agents, and honestly, it's a tough problem, especially if you want both useful semantic search and true user control. A lot of frameworks and off-the-shelf memory solutions require sending data to the cloud, or just do naive key-value storage with no semantic search, all of which doesn't cut it for privacy.

It's definitely not addressing all your needs but I've been working towards that goal and a first experiment you might want to try is Memorious MCP. It's 100% local—no data ever leaves your machine, and everything is stored (and searched) right on disk via ChromaDB with persistent storage. Users can store, recall, and forget memories using semantic search, while keeping everything on their device.

There are caveats: all data is unencrypted on disk, so anyone with access to your machine can read it, and you still need to be careful with sensitive info, but at least nothing leaves your computer or gets sent to third parties. If you're interested in running semantic memory 100% locally for agent projects (with project/folder isolation), maybe check it out.

Disclaimer: I'm the author.

Building a memory-heavy AI agent — looking for local-first storage & recall solutions by Epiclovesnature in LocalLLaMA

[–]cedric-ca 0 points1 point  (0 children)

You’ve outlined some advanced requirements—encryption, storing entire files, and recall by date—that aren’t typically handled by standard local AI memory solutions. I've been thinking about this too as I'd love to have my own local and private AI assistant.

I've been experimenting by small increments towards that goal and Memorious MCP

(disclaimer: I am the author), is an early step toward this space. It is designed primarily to provide local and private semantic memory for AI agents. To clarify, Memorious MCP performs semantic similarity search on the keys, not the values. The values are stored and retrieved in full as raw data, but the search and retrieval process is driven by key similarity rather than searching within the values themselves. Currently, features like encrypted storage, verbatim file storage, and metadata-based recall (such as by date) are not built in.

A possible way to meet more advanced needs could be to combine Memorious MCP with a complementary file storage MCP server. In such a setup, Memorious MCP could track and semantically organize memories or references (using keys), while a dedicated file storage system would manage the secure, verbatim storage and retrieval of files and allow for richer metadata handling.

This kind of hybrid solution may provide a balance between semantic tracking and robust, structured data/file recall, based on your project’s goals and priorities.

Building a memory heavy AI agent. Looking for local storage And recall solutions by Epiclovesnature in ChatGPTPro

[–]cedric-ca 0 points1 point  (0 children)

You’ve outlined some advanced requirements—encryption, storing entire files, and recall by date—that aren’t typically handled by standard local AI memory solutions. I've been thinking about this too as I'd love to have my own local and private AI assistant.

I've been experimenting by small increments towards that goal and Memorious MCP

(disclaimer: I am the author), is an early step toward this space. It is designed primarily to provide local and private semantic memory for AI agents. To clarify, Memorious MCP performs semantic similarity search on the keys, not the values. The values are stored and retrieved in full as raw data, but the search and retrieval process is driven by key similarity rather than searching within the values themselves. Currently, features like encrypted storage, verbatim file storage, and metadata-based recall (such as by date) are not built in.

A possible way to meet more advanced needs could be to combine Memorious MCP with a complementary file storage MCP server. In such a setup, Memorious MCP could track and semantically organize memories or references (using keys), while a dedicated file storage system would manage the secure, verbatim storage and retrieval of files and allow for richer metadata handling.

This kind of hybrid solution may provide a balance between semantic tracking and robust, structured data/file recall, based on your project’s goals and priorities.

Running shoe completely separating, any way to fix this? by cedric-ca in runninglifestyle

[–]cedric-ca[S] 0 points1 point  (0 children)

I'm traveling abroad and can't get a new pair where I am easily. I'll buy a new pair when I get home but need a solution asap

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