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rLLM

Fine-Tuning 3.0/10 Emerging

Agentica's framework for post-training language agents with RL, used to train reasoning and coding agents like DeepCoder.

rLLM scores 3/10 (Emerging) in Fine-Tuning.

Language Jupyter Notebook License Apache-2.0 Stars 400★ Type library Self-host Yes Repo agentica-project/rllm Homepage https://github.com/agentica-project/rllm

Quality

Emerging 3.0
Adoption 15
Activity 5
Maturity 61
Community 14
Capability 50
Show the math
Overall 3/10
value = 3/10
score = value
Adoption 2.4/10
value = 15.1/100
score = 1 + 9 * value / 100
Activity 1.4/10
value = 5/100
score = 1 + 9 * value / 100
Maturity 6.5/10
value = 61.1/100
score = 1 + 9 * value / 100
Community 2.2/10
value = 13.6/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100

Key metrics

400★ GitHub stars
0/90d Recent commits
0 devs/90d Recent contributors
11mo Project age
10mo ago Last commit

Gotchas

No gotchas documented yet. Contribute one if you know a constraint we missed.

Labels

  • New project

    New (11mo)

    Created within the last year — promising but less battle-tested.

  • Self-hosted

    Self-hosted

    You deploy and operate it yourself; there is no hosted option here.

agent-rl reasoning coding-agent post-training research