kokolerk/TCOD

[COLM 2026]TCOD: Exploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents

111
Stars
8
Forks
33.3
Radar Score
Stable
Momentum

Scoring Breakdown

Impact27.6
Velocity27.4
Health50.7

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python

Why it ranks

Modest but positive momentum.

AI AgentsTop 75% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
78%
Moderate Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
33.3
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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