sandbox

★ 85

lemonade

★ 6.0k

sandbox vs lemonade

Q: Which is better, sandbox or lemonade?

By GitHub stars, lemonade has more community adoption, but the best choice depends on your specific use case.

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.; lemonade: Lemonade is an SDK designed to help users discover and run local AI applications by serving optimized Large Language Models directly from their GPUs and NPUs. It offers acceleration for various hardware, supports multiple model formats, and integrates with popular AI apps via an OpenAI-compatible API.

TL;DR

sandboxLLM Infra · ★ 85

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

Read sandbox full review →

lemonadeLLM Infra · ★ 6.0k

Running LLMs locally on personal computers with hardware acceleration

Read lemonade full review →

Side-by-Side Comparison

Field

sandbox

lemonade

Features

sandbox

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.

lemonade

01Optimized local LLM serving with GPU and NPU acceleration

02Discover and run various local AI applications

03Supports GGUF, FLM, and ONNX model formats with a built-in Model Manager

04Integrated image generation using Stable Diffusion models

05OpenAI-compatible API for seamless integration with client libraries

Use Cases

sandbox

↳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.

lemonade

↳Running LLMs locally on personal computers with hardware acceleration

↳Integrating local AI capabilities into existing applications (e.g., n8n, VS Code Copilot)

↳Experimenting with different AI models via a built-in chat interface

↳Developing AI applications that require local model inference and image generation

↳Deploying optimized LLMs on various platforms including desktop and mobile

FAQ

What is the difference between sandbox and lemonade?

Both sandbox and lemonade are in the LLM Infra category. sandbox has 85 stars, while lemonade has 6.0k stars.

Which is better, sandbox or lemonade?

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 lemonade if Running LLMs locally on personal computers with hardware acceleration.

Is sandbox free or open source?

Yes, sandbox is open source on GitHub (AGPL-3.0).

Is lemonade free or open source?

Yes, lemonade is open source on GitHub (Apache-2.0).

Cloud Infrastructure

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Alternatives to sandbox →Alternatives to lemonade →sandbox details →lemonade details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

FAQ

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