ubermon

it is more like an actual harness with a managed and pinned llama the control is inverse. Harness is compute and Model is data

there are so much content and valuable stuff in the github repo you can pretty much recreated with your own agent.

yes. Offline mode is choice, should be able to run frontier one first and then figure out how do incorporate local models as real workhorse

there are still many bad players in the industry, i wouldn't mind sharing it with trusted group. But I am not yet strong enough with deal and handle all those yet.

generally the challenge now is that 1. how to deal with PR spams by AI bots 2. how to make the project sustainable especially when one has no distribution. when anyone can insta remix and re-package a…

called out the most asked questions - where is the source - telemetry opt-in/opt-out in README of https://github.com/AntigmaLabs/ante …

I wonder my self, was notified by a friend, but I am grateful.. Probably because of the Meta's open model release?

my view on harness is that it is to capturing the structural mechanism with llm interacting the world. They are a dynamic duo evolving together. The technical depth will continue to grow (e.g. /g…

I love pi and share many vision and value with it. But my view on harness is that it is to capturing the structural mechanism with llm interacting the world. They are a dynamic duo evolving together. …

Oh no, definitely not Internet Explorer. Will figure out a way to ship with source first to address the security and concern and then figure out how to do the open source development in agentic era la…

the public repo README is updated.

there is one toy version https://github.com/AntigmaLabs/nanochat-rs README updated.

even with power of AI, we are mere human and still slow. Adding this to backlog.

feedback received, it was carry over from the preview dev build.

for now only some of core crates is migrated, will do so progressively

so it is more for being self contained and works out of box if being deployed in a bare linux environment. we tried shell out to `rg` it didn't work very well and instead spending time handling …

nice, good to see more contributor in this space

we put it in the repo README, will add migrate more into public repo as soon as possible.

yes, the goal is to perfect the `ante serve` so it is easy to build gui. We are building one internally to test the protocol version

will add those soon!

we have a detailed launch thread explaining and show case exactly this! https://x.com/NoCommas/status/2086835536598351955 …

Hi HN, I'm Mohan from Antigma Labs. Ante is a coding agent that ships as one self-contained ~15MB binary: the TUI, an embedded ripgrep, local PDF/OCR, and a natively managed llama.cpp engine…

yeah, that bench has a lot of room to improve, but it is the best we can find now

it is indeed surprising how much a small model can do! As you said, for specific tasks like coding, the training data quality and new architecture of newer models probably beats model size

yes. I think there is a threshold of some sort where if a model pass it can tolerate less system prompts. For example, same short prompt could work with deepseek v4 flash but not so much with Qwen 3.6…