AgentIndex icon
AgentIndex
rllm logo
rllm
★ 5.9k
vs
cap-evolve logo
cap-evolve
★ 66

rllm vs cap-evolve

rllm: rLLM is an open-source framework designed for post-training language agents using reinforcement learning. It allows users to easily build, train, and deploy custom agents and environments for real-world workloads.; cap-evolve: cap-evolve is an honesty-guaranteed framework that optimizes AI agent capabilities like prompts, tools, and skills by learning from failed evaluation traces. It automates the loop of evaluation, diagnosis, candidate generation, and validation, ensuring improvements are significant and honest.

01

TL;DR

rllm logo
rllmLLM Infra · ★ 5.9k

Training powerful coding models for tasks like code generation and bug fixing.

Read rllm full review →
cap-evolve logo
cap-evolveLLM Infra · ★ 66

Optimizing AI agent capabilities when developing with Claude Code plugin.

Read cap-evolve full review →
02

Side-by-Side Comparison

Field
rllm logorllm
cap-evolve logocap-evolve
Category
LLM Infra
LLM Infra
Stars
★ 5.9k
★ 66
License
Apache-2.0
Apache-2.0
Install Command
uv pip install "rllm[verl] @ git+https://github.com/rllm-org/rllm.git"
git clone https://github.com/skillberry-ai/cap-evolve.git && cd cap-evolve && python3 -m venv .venv && source .venv/bin/activate && pip install ./core
Updated
1w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Reinforcement Learning, Language Agents, LLM
AI Agent Optimization, Prompt Engineering, Tool Code Optimization
03

Features

rllm logorllm
01Open-source framework for reinforcement learning-based post-training of language agents.
02Supports building, training, and deploying custom agents and environments.
03Offers multiple training backends including 'verl' and 'tinker'.
04Enables LoRA and VLM training for advanced models.
05Includes AgentWorkflowEngine for training over arbitrary agentic programs.
cap-evolve logocap-evolve
01Optimizes more than prompts, including executable tool code and entire skill packages.
02Learns from real agent failures and per-task causal feedback to make robust improvements.
03Ensures honest evaluation through a significance gate and a sealed, scored-once test split.
04Provides a dashboard to inspect every change, cost, timing, diff, and pass/fail heatmap.
04

Use Cases

rllm logorllm
↳Training powerful coding models for tasks like code generation and bug fixing.
↳Developing sophisticated software engineering agents for automated tasks.
↳Building and evaluating multi-agent systems using reinforcement learning techniques.
cap-evolve logocap-evolve
↳Optimizing AI agent capabilities when developing with Claude Code plugin.
↳Integrating and refining agents from various coding-agent hosts like Codex, Gemini, or Droid.
↳Custom integration for developers who want to wire their own agent adapters and drive the CLI directly.
↳Applying pre-built adapter templates for popular benchmarks and data formats (e.g., JSONL, HuggingFace, tau2-bench).
05

Best For

rllm logorllm
Trending
cap-evolve logocap-evolve
—
FAQ

FAQ

What is the difference between rllm and cap-evolve?
Both rllm and cap-evolve are in the LLM Infra category. rllm has 5.9k stars, while cap-evolve has 66 stars.
Which is better, rllm or cap-evolve?
The best choice depends on your use case. Choose rllm if Training powerful coding models for tasks like code generation and bug fixing., and cap-evolve if Optimizing AI agent capabilities when developing with Claude Code plugin..
Is rllm free or open source?
Yes, rllm is open source on GitHub (Apache-2.0).
Is cap-evolve free or open source?
Yes, cap-evolve is open source on GitHub (Apache-2.0).
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Related

Alternatives to rllm →Alternatives to cap-evolve →rllm details →cap-evolve details →