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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.

Why this job: says: multi agent, autonomous agents, agent runtime; topics: agent-framework, multi-agent, multi-agent-systems, autonomous-agents, llm-agents, ai-agents, agents, agentic-ai

What it does

KADATH takes a goal and spends an ungodly number of model tokens evolving agents that are progressively better at achieving it. Over multiple generations, a population of agents attempts the goal, gets independently graded against a measurable benchmark, learns from the strongest performers, mutates, reproduces, and weeds out weak approaches. Instead of betting everything on one prompt or one agent, KADATH uses repeated competition and selection to produce the best agent it can for the user's intended outcome.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 16 days ago
Stars
228
On GitHub
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
Python
95% of the code

Is it looked after?

Contributors
1
Last 90 days
Issues
100% closed
0 still open
Pull requests
0 merged
0 waiting
Releases
None
Never published
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 95%
  • Shell 5%
  • Perl <1%
  • Dockerfile <1%

Topics

  • agent-evaluation-tools
  • agent-framework
  • agent-swarms
  • agentic-ai
  • agents
  • ai
  • ai-agents
  • autonomous-agents
  • evolutionary-algorithms
  • generative-ai
  • genetic-algorithm
  • llm

Project record

  • JobAgent frameworks
  • StatusListed
  • Commits9
  • Forks2
  • Watching0
  • Stars in 28 days0
  • CreatedAug 8, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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