sandbox

Modal discusses the importance of managing the entire lifecycle of sandbox systems beyond initial boot, highlighting tools like .wait_until_ready().

Modal explains the complexities of building performant sandbox systems beyond initial container boot and shares tools for lifecycle management.

VELA is a tool for securely executing AI-generated and untrusted code, providing a sandbox environment to prevent malicious actions.

Greptile launches T-Rex, a feature that runs your branch in a sandbox to find bugs by mocking API calls, clicking around the UI, and running unit tests, catching ~20% more bugs than base Greptile.

This post evaluates sandbox platforms for background agents, focusing on requirements like running real workloads, ingress, and cost. It outlines the Deputies sandbox provider interface and key considerations.

The author open-sourced their 'wonderlands' project, the next iteration of their personal AGI sandbox.

Claude Managed Agents can now operate in a user-controlled sandbox on your own infrastructure, with new integration guides for Blaxel AI, e2b, Google Cloud, Namespace Labs, and Superserve AI.

This article walks through building a minimal FUSE filesystem in Rust called magicfs, which uses a metadata.json and blob files as a backing store, demonstrating core filesystem concepts like name lookup, inode stability, and kernel caching.

The author explains how they built a compute platform capable of launching millions of sandboxes per second in constant time, focusing on decoupled scheduling and capacity aggregation using Cassandra and S3.

The article discusses the current state of computer-control harnesses that allow local vision language models to securely control a cursor in a sandbox environment.

A guide for running Pi AI agent securely inside a Docker Sandbox while running llama-server on the host machine for local GPU inference.

Monty is a minimal secure Python interpreter written in Rust, designed for AI Agents, offering microsecond-level startup and near-native CPython performance, while strictly restricting access to the host filesystem, network, and environment variables.

This article introduces the five-layer safety guardrail configuration of Claude Code, including OS sandbox, native permission rules, PreToolUse Hook, engineering rules, and remote access control. It also provides a deny/ask/allow configuration and command classification list to ensure the Agent operates autonomously within secure boundaries.

LangChain introduces LangSmith Sandboxes, providing each AI agent with its own isolated computer environment for safe code execution, addressing security risks of running untrusted code in containers or locally.

Simon Willison introduces micropython-wasm, an alpha package that runs Python code in a sandbox using MicroPython compiled to WebAssembly, enabling safe plugin execution within Python applications like Datasette.

A list of six powerful but lesser-known AI developer tools: Instructor for structured JSON output, Octopoda for agent memory, E2B for secure sandboxes, Firecrawl for website-to-markdown, Composio for app integrations, and LiteLLM for multi-model API.

Sage is a local AI inference engine built in Rust that runs entirely on the user's machine with kernel-level sandbox security, no telemetry, and no cloud dependency.

China released OpenSandbox, an open-source sandbox runtime for AI agents, supporting multiple SDKs and secure execution environments with Docker/Kubernetes isolation.

Mukil Loganathan from LangChain introduced LangSmith Sandboxes at the Interrupt conference, enabling safe execution of agent code with low latency, secure isolation, persistence, and snapshot/restore capabilities.

A developer created a cartoon sandbox where AI characters live, text, and autonomously run a town, with user interactions like ordering fights between characters.