Intelligent-Internet / Intelligent-Internet/zenith

Using Zenith along side Agent Teams or Ultracode - CLASS ABOVE MYTHOS ?!

Open
#10 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
306
Forks
46
Avg merge
2m
Merged PRs (30d)
2

Description

Hi there, first of all, again thanks so much for Zenith!

I am currently testing it for real for the first time,
and i am using it alongside Agent Teams

will post results soon

but in the meantime i wonder (and maybe learn by trying)...
how well do agent teams work along side Zenith
are they a good match?
So far it seems so to be going very well

also what about ultracode?
do you think ultracode and zenith will mix well together

i am currently using a claude code max 200 plan, so im not optimizing for cost and tokenomics yet (though very focused on it)
but as i understand it, you guys claim to achieve mythos level capability using gpt 5.5
so i wonder, is it possible that using agent teams and or ultracode can bring the performance even higher ??!!!!

i will test these myself to get the feel for it, but im not sure that i am ready to fully bench test all of these in a good way
so i am hoping that some of you would have some insights
or even benchmark results to support or refute these claims

I think knowing the answers to these will be super important,
Thanks a lot and all the best!

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue names no files, tests, or entry points to inspect. Start by defining reproducible benchmarks for Zenith with Agent Teams and Ultracode, then document the comparison criteria and results so compatibility and performance claims can be evaluated.

Written by the indexing model from the issue text.

Assessment

Domain
ai
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
20/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.