Code Execution Python Packages

daytona-api-client-async

Official SDKs, API clients, and CLI/MCP tools for Daytona, the secure and elastic infrastructure for running AI-generated code

daytona-api-client

Official SDKs, API clients, and CLI/MCP tools for Daytona, the secure and elastic infrastructure for running AI-generated code

daytona-toolbox-api-client-async

Official SDKs, API clients, and CLI/MCP tools for Daytona, the secure and elastic infrastructure for running AI-generated code

daytona-toolbox-api-client

Official SDKs, API clients, and CLI/MCP tools for Daytona, the secure and elastic infrastructure for running AI-generated code

daytona-analytics-api-client-async

Official SDKs, API clients, and CLI/MCP tools for Daytona, the secure and elastic infrastructure for running AI-generated code

daytona-analytics-api-client

Official SDKs, API clients, and CLI/MCP tools for Daytona, the secure and elastic infrastructure for running AI-generated code

tensorlake

Tensorlake is a serverless runtime for sandboxes and deploying background agentic applications

runloop-api-client

Official Python SDK for Runloop — secure Linux sandboxes (Devboxes) where AI agents run code, edit files, and expose ports

codeboxapi

👾📦 CodeBoxAPI is the simplest sandboxing infrastructure for your LLM Apps and Services.

pydeno

Run AI-generated JavaScript from Python, securely, in a sandbox: real V8 in a supervised, OS-sandboxed worker process (Seatbelt, Landlock, seccomp), with your Python functions as the only way out.

kern-sandbox

Rootless container runtime with no daemon. Runs agent tool calls and LLM-generated code in kernel-enforced containers.

agentbox-sandbox

Self-hosted code execution sandbox for AI agents

airlock-sandbox

An isolated, secure execution sandbox for AI coding agents

haiku-rag-slim

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server

haiku-rag

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server

withruntime

Sandboxes for AI agents: TypeScript, Python, Go, Java and Ruby SDKs, the runtime CLI, an MCP server, and agent integrations. Firecracker microVMs.

axern-sdk

Secure, reproducible sandboxes for AI agent evaluation, training, and data synthesis.

langchain-sandbox-opensandbox

OpenSandbox sandbox backend for LangChain Deep Agents - run agent-generated code and file operations in an isolated OpenSandbox environment.

ephemora-cell

Ephemeral, stateless, capability-bound execution for untrusted AI and agent-generated code.

fleet-rlm

Recursive AI System

codecalc

Universal code & logic calculator for AI models: 51 MCP tools across 31 languages. Rust-sandboxed execution with verdicts, sessions, artifacts, exact arithmetic, and verified translation/optimization. No LLM, no gateway, no telemetry: the caller is the model. Apache-2.0.

nvidia-livecodebench

Official repository for the paper "LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code"

vpod

Lightweight, secure Linux sandboxes for untrusted processes. Runs in the browser and on the server.

capsule-run

Secure runtime to sandbox AI agent tasks. Run untrusted code in isolated WebAssembly environments.