Daytona
Daytona is a cloud-native development runtime that enables developers and AI agents to instantly create, run, and manage isolated sandboxes for any codebase. Each sandbox runs inside a secure microVM with full Linux compatibility, networking, and persistent storage.
Daytona provides SDKs in Python and TypeScript, allowing applications to programmatically execute code, run processes, upload files, or spin up environments dynamically.
Teams use Daytona to replace complex local setups with reproducible cloud sandboxes that can be started in seconds and accessed through preview URLs, SSH, or APIs. It’s built for automation, observability, and scalability, powering everything from personal development environments to enterprise-grade agent runtimes.
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Agent Computer
AgentComputer is a cloud-based infrastructure platform designed specifically for running AI agents in isolated, fully functional virtual environments. It provides “cloud computers” in the form of lightweight Ubuntu-based sandboxes that can be provisioned in under a second, allowing developers to quickly spin up, access, and manage environments through a command-line interface. These environments include persistent storage, meaning any installed tools, files, or configurations remain intact across restarts, enabling continuous and stateful workflows. It is built around an agent-first architecture, where AI agents can directly execute tasks within these environments via SSH, eliminating friction between instruction and execution. It includes an integrated AI harness that supports agents such as Claude, Codex, and other coding assistants, enabling collaborative, multi-agent workflows within the same system.
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NullClaw
NullClaw is an ultra-lightweight autonomous AI assistant infrastructure built in Zig and distributed as a single static binary designed to run efficiently on virtually any hardware. It emphasizes extreme performance and minimal resource usage, shipping as a roughly 678 KB executable that typically consumes about 1 MB of RAM and boots in under two milliseconds. It eliminates traditional runtime overhead by avoiding virtual machines, interpreters, and complex dependency chains, allowing developers to deploy agents simply by running the compiled binary. Despite its small footprint, the framework provides a full autonomous agent stack with support for more than 22 model providers, 18 communication channels, hybrid vector and FTS5 memory, streaming, voice, and multi-layer sandboxing. Security is built in through workspace scoping, explicit command allowlists, encrypted secrets, and strict sandbox isolation using tools such as Landlock, Firejail, or Docker.
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VMware Fusion Pro
VMware Fusion gives Mac users the power to run Windows on Mac along with hundreds of other operating systems side by side with Mac applications, without rebooting. Fusion is simple enough for home users and powerful enough for IT professionals, developers and businesses. Running Windows on Mac is only the beginning. VMware Fusion lets you choose from hundreds of supported operating systems, from lesser-known Linux distributions to the latest Windows 10 release, to run side by side with the latest macOS release. Fusion makes it simple to test nearly any OS and app on a Mac. Build and test apps in a sandbox while securely sharing local source files and folders. Fusion Pro now includes a RESTful API to integrate with modern development tools like Docker, Vagrant, Ansible, Chef, and others to fit the power of VMware into today’s Agile and DevOps-oriented production pipelines.
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