evacchi

loving to see more uses of wazero in the wild! I think these uses of the Wasm sandbox show a lot of promise!

related: "Kefka is a Go-native shell sandbox with coreutils, Python via WebAssembly, and more" https://xeiaso.net/blog/2026/dancing-mad-sandboxing/

I am a simple man, I see wazero, I upvote :)

(I am one of the maintaners, interesting work!)

Nah that would be unfair to you (you are often doing a lot of grunt maintenance work!! Plus getting me out of many tarpits when we chat) and the rest of the maintainers!

I'm working on EH right now! Slowly walking towards GC!!

Yay wazero maintainer here, thanks for the shout-out!

My site and blog: https://evacchi.dev

weeks ago I was also noodling around with the idea of programming languages for LLMs, but as a means to co-design DSLs https://blog.evacchi.dev/posts/2025/11/09/the-return-of-lang...

ramalama.ai is worth mentioning too

wazero has supported context cancellation for a long time :) https://github.com/wazero/wazero/blob/9286448974219ab3be0931...

Cool they have NFTs

I've also been thinking about generating DSLs https://blog.evacchi.dev/posts/2025/11/09/the-return-of-lang...

> This is not just a convenience feature. It is a new way of thinking about test creation that closes the distance between the coverage you need and the code that runs it

Ouff

> - Wasm Exception Handling is still not part of the standard. They are supported by browsers and runtimes based on browsers, but they are unsupported by lots of other runtimes (Wazero doesn't seem to support them, for example.)

...yet! :p

EDIT: I realized this comment might be too terse. I contribute to Chicory and wazero, I have recently worked on tail calls for wazero and EH would be the next item on my personal todo list. Let's see!

mcp.run is entirely based on wasm. Tools can run on our cloud or locally

OT: I really like Li Haoyi's work in the Scala community, trying to bring Python's straightforward programming model to Scala.

I've been wondering if there is an equivalent in the Rust ecosystem. I think https://github.com/facet-rs/facet is going in the right direction

so finally someone is actually putting ML in ML

cool!! you might also want to check out https://www.mcp.run/dylibso/eval-py

It's open source too :) https://github.com/dylibso/mcp.run-servlets/tree/main/servle...

We also use Wasm to sandbox all our servlets https://docs.mcp.run/blog/2025/04/07/mcp-run-security

(I work at Dylibso)

hah! this is great. I built something similar using mcp.run and a task

- https://docs.mcp.run/tasks/tutorials/telegram-bot

for memories (still not shown in this tutorial) I have created a pantry [0] and a servlet for it [1] and I modified the prompt so that it would first check if a conversation existed with the given chat id, and store the result there.

The cool thing is that you can add any servlets on the registry and make your bot as capable as you want.

[0] https://getpantry.cloud/ [1] https://www.mcp.run/evacchi/pantry

Disclaimer: I work at Dylibso :o)