AgentIndex icon
AgentIndex
sandbox logo
sandbox
★ 85
vs
rllm logo
rllm
★ 5.9k

sandbox vs rllm

sandbox: Sandbox provides high-performance MicroVM sandboxes for AI agents, leveraging the cocoon stack for rapid boot times and warm pools. It offers secure, isolated execution environments with SDKs for Go and Python, and integrations with agent frameworks like OpenAI Agents and LangChain.; 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.

01

TL;DR

sandbox logo
sandboxLLM Infra · ★ 85

Providing isolated and secure execution environments for AI agents to run untrusted code or perform tasks.

Read sandbox full review →
rllm logo
rllmLLM Infra · ★ 5.9k

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

Read rllm full review →
02

Side-by-Side Comparison

Field
sandbox logosandbox
rllm logorllm
Category
LLM Infra
LLM Infra
Stars
★ 85
★ 5.9k
License
AGPL-3.0
Apache-2.0
Install Command
make sandboxd
uv pip install "rllm[verl] @ git+https://github.com/rllm-org/rllm.git"
Updated
1d ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
MicroVM, Sandboxing, AI Agents
Reinforcement Learning, Language Agents, LLM
03

Features

sandbox logosandbox
01High-performance MicroVM sandboxes for AI agents with sub-millisecond warm claims and fast boot.
02Dual network lanes supporting Firecracker for vsock-only and Cloud Hypervisor for egress networking.
03In-guest daemon (silkd) for executing commands, file operations, persistent shell sessions, and LSP proxy.
04Per-node control plane (sandboxd) with warm pools, claim/release HTTP API, and HTTP-upgrade byte relay.
05Comprehensive SDKs for Go and Python, plus direct integrations with OpenAI Agents SDK and LangChain.
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.
04

Use Cases

sandbox logosandbox
↳Providing isolated and secure execution environments for AI agents to run untrusted code or perform tasks.
↳Integrating with popular agent frameworks like LangChain or OpenAI Agents for enhanced code execution capabilities.
↳Developing and testing AI agents in a controlled, high-performance sandbox environment.
↳Orchestrating AI agent workloads with warm pools for rapid and efficient task execution.
↳Enabling secure and private execution of AI models or sensitive operations within a microVM.
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.
05

Best For

sandbox logosandbox
—
rllm logorllm
Trending
FAQ

FAQ

What is the difference between sandbox and rllm?
Both sandbox and rllm are in the LLM Infra category. sandbox has 85 stars, while rllm has 5.9k stars.
Which is better, sandbox or rllm?
The best choice depends on your use case. Choose sandbox if Providing isolated and secure execution environments for AI agents to run untrusted code or perform tasks., and rllm if Training powerful coding models for tasks like code generation and bug fixing..
Is sandbox free or open source?
Yes, sandbox is open source on GitHub (AGPL-3.0).
Is rllm free or open source?
Yes, rllm is open source on GitHub (Apache-2.0).
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Related

Alternatives to sandbox →Alternatives to rllm →sandbox details →rllm details →