sandbox logo
sandbox
★ 85
vs
ctxd logo
ctxd
★ 59

sandbox vs ctxd

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.; ctxd: ctxd provides a Python SDK and CLI for its cloud context infrastructure, designed for AI agents. It connects to, parses, indexes, and syncs content from various cloud applications like Google Drive, Slack, and GitHub, allowing permission-aware searching through a unified index.

01

TL;DR

sandbox logo
sandboxLLM Infra · ★ 85

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

ctxd logo
ctxdMemory & Context · ★ 59

Providing context infrastructure for AI agents.

02

Side-by-Side Comparison

Field
sandbox logosandbox
ctxd logoctxd
Category
LLM Infra
Memory & Context
Stars
★ 85
★ 59
License
AGPL-3.0
MIT
Install Command
make sandboxd
pip install ctxd
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
MicroVM, Sandboxing, AI Agents
Python SDK, CLI, AI Agents
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.
ctxd logoctxd
01Connects to cloud files and data across multiple applications (e.g., Google Drive, Slack, GitHub).
02Parses, indexes, and syncs content for unified search.
03Provides a permission-aware search index.
04Offers both synchronous and asynchronous Python clients.
05Supports flexible authentication methods including API keys and interactive login.
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.
ctxd logoctxd
↳Providing context infrastructure for AI agents.
↳Searching documents and data across various connected cloud applications.
↳Automating data retrieval and context fetching in scripts and headless environments.
↳Integrating cloud-based information into custom applications using Python SDK.
FAQ

FAQ

What is the difference between sandbox and ctxd?
Both sandbox and ctxd are in the LLM Infra category. sandbox has 85 stars, while ctxd has 59 stars.
Which is better, sandbox or ctxd?
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 ctxd if Providing context infrastructure for AI agents..
Is sandbox free or open source?
Yes, sandbox is open source on GitHub (AGPL-3.0).
Is ctxd free or open source?
Yes, ctxd is open source on GitHub (MIT).
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