Sandbox0
Sandbox0 is an Apache-2.0 sandbox runtime for long-running AI agents and services that execute untrusted code. It provides isolated Linux environments with command execution, stateful contexts, file operations, SSH, supervised sessions, and network controls. Sandboxes retain a durable writable RootFS across successful pause-and-resume checkpoints; snapshots, restore, and forks support reusable workspaces. The Python, JavaScript/TypeScript, and Go SDKs, HTTP API, and s0 CLI let applications create and manage sandboxes. Sandbox0 Cloud provides hosted access, while teams can self-host the runtime on dedicated Nomad infrastructure. Default pause preserves filesystem state, not live process memory or external connections; experimental memory recovery requires compatible deployment support.
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Agent Substrate
Agent Substrate is an open-source runtime for operating isolated, stateful agent and code-execution sandboxes on Kubernetes. It coordinates actor and worker lifecycles, places active workloads on a shared pool of ready capacity, and can suspend idle environments while preserving memory and filesystem state for later resumption. Sandboxes use gVisor or Cloud Hypervisor microVM isolation, with per-actor identity and network controls. Agent Substrate is designed for platform and infrastructure teams building agent-hosting services, coding environments, and other workloads that execute untrusted or intermittent tasks. The core project is Kubernetes-portable; Google Cloud also provides GKE-optimized deployment tooling. Optional Filestore agent volumes can persist workspaces across suspend and resume cycles.
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Ovrin
Ovrin is a hosted compute platform for developers building AI agents and software that needs to run code in controlled environments. Through a REST API, Python and TypeScript SDKs, or an MCP server, users can create disposable Linux sandboxes, run shell commands and stateful code, manage files and scoped API keys, and retrieve execution output. Preconfigured environments include Claude Code, OpenAI Codex, Gemini CLI, and DeepSeek Harness; browser workflows can use Chrome and Playwright. The platform also offers persistent memory, sandbox lifecycle controls, usage metering, and concurrency limits. Typical uses include coding-agent execution, browser automation, and running model-generated code. Plans include a free tier and paid tiers with additional concurrency and usage-based compute charges.
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Omnara
Omnara gives developers an open-source way to deploy AI agents without building the systems that keep them running. Its API manages execution and agent state, while you decide which models, tools, and environments each agent uses. Build agents that customers can access inside your product, create internal assistants for Slack, or set up workflows for tasks like code review.
You can launch and interact with agents through a REST API, TypeScript SDK, or CLI. Connect models from providers such as OpenAI, Anthropic, and OpenRouter, or use a compatible endpoint for a model you host yourself. Agents can work in managed sandboxes or on machines you connect. MCP integrations and reusable skills let them access tools and data.
Omnara also includes team and project permissions, encrypted secrets, activity records, and human approval for sensitive actions. Its agents retain their state so they can continue after interruptions. You can use the cloud service or self-host the platform.
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