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Autoresearch X

  • 2 repo stars
  • Updated April 3, 2026
  • waynejing995/autoresearch-x

An autonomous iteration engine with evidence-chain tracking that helps a builder run optimization, debugging, and investigation loops that prove each step with evidence.

About

AutoResearch-X is an autonomous iteration engine with evidence-chain tracking for optimization, debugging, and investigation workflows. It runs experiment loops that iterate toward a goal while recording evidence for every step, so conclusions are backed by proof rather than guesses. A solo builder reaches for it when they need to systematically investigate a hard problem or optimize a system and want the agent to iterate autonomously and show its work.

  • Autonomous iteration engine
  • Evidence-chain tracking
  • Optimization, debugging, investigation loops
  • Experiment-loop with proof at each step

Autoresearch X by the numbers

  • Data as of Jul 7, 2026 (Skillselion catalog sync)
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repo stars2
Last updatedApril 3, 2026
Repositorywaynejing995/autoresearch-x

What it does

An autonomous iteration engine with evidence-chain tracking that helps a builder run optimization, debugging, and investigation loops that prove each step with evidence.

Who is it for?

Builders running iterative debugging or optimization

Skip if: One-shot tasks needing no iteration

What you get

  • an evidence chain
  • an optimized or fixed system

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