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TokenRhythm / NeoHorse

NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness.

Why this job: works in the areas we cover, but does not say which job it does

What it does

  • Agentic post-training framework. routing-guided curriculum SFT and routing-guided on-policy distillation turn execution trajectories into training signal while preserving execution and harness context.
  • Data quality. exact and near-duplicate removal, evaluation decontamination, structural validation, six-dimensional semantic evaluation, and subscene-level Scene/Goal/Outcome labeling.
  • Two release sizes. 4B for a lighter local deployment footprint and 9B for higher capacity on the same text-first serving interface.

Get started

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

Maintenance
Active
Last commit 47 days ago
Stars
1,702
+6 this week
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
Python
100% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
33% closed
2 still open
Pull requests
1 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 100%
  • Jinja <1%

Topics

  • agent
  • large-language-models
  • llm
  • post-training
  • recursive-self-improvement
  • rsi

Project record

  • JobOther AI tools
  • StatusListed
  • Commits13
  • Forks25
  • Watching3
  • Stars in 28 days+27
  • CreatedSep 4, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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