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i3T4AN/KADATH

Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.

#AI agent
Visit GitHub
Python
258
4
1 contributors
Apache License 2.0
AchievementsView all →
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How fast i3T4AN/KADATH is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Aug 20 – Oct 19, 2026

Stars +5 in 61 days

01
1

Forks +0 in 61 days

01

Merged PRs 0 in 61 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Aug 20Aug 28Sep 5Sep 13Sep 21Sep 29Oct 7Oct 15
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
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Total+5+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Mentions and achievements

Where people are talking about i3T4AN/KADATH, and every badge it has earned
  1. Aug 141 post

    • 如果不想把智能体优化押在一轮提示词调参上，KADATH 这套可复现进化思路值得拆。 它把系统分成固定内核与可进化智能体：前者锁定目标、评分、调度和隔离，后者连提示词、Python 实现、工具与依赖一起作为 Git 基因组迭代。每轮冻结证据后独立评分，再保留、淘汰、变异和遗传。边界清晰，但模型、容器和存储成本不低，更适合目标可量化且值得多轮搜索的任务。

      Read full on X, posted by @vintcessun

      @vintcessun · x.com

  2. Aug 101 post

    • Someone built a tool that evolves AI agents the way you'd breed livestock. KADATH takes a goal, spins up a population of complete agent frameworks (prompt + code + tools, treated as one genome), and…

      Read full on X, posted by @lifeisameeme

      @lifeisameeme · x.com

  3. Aug 91 post

    • Evolve better agents with KADATH – Python runtime for multi-agent evolution. See link below 👇

      Read full on X, posted by @RepoGems

      @RepoGems · x.com

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