Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

the easiest way to run natural language-described workflows automatically

A free and open-source toolkit for running other people's code in your applications.

The fastest Trust Layer for AI Agents

Secure autonomous AI agent workforce. Build an AI team by describing what you want. Replace entire departments with AI that can do everything a human can do.

Composable agent runtime with enforced isolation boundaries

AI-native application framework and runtime, simply write a YAML file.

AutomatosX is an orchestrates AI agents, workflows, and memory

Benchmarked agent execution runtime for Python. Sub-10ms cold starts, real-time streaming, time-travel debugging, and self-growing tool libraries. Compare 3 sandbox backends: Docker (OpenSandbox), MicroVM, and in-process AST.

Production-grade TypeScript AI runtime focused on reliability, governance, and reproducible LLM systems. Multi-provider gateway, agents, RAG, workflows, policy engine, audit trails, and deterministic testing — built for teams shipping AI in production.

A self-evolving, AI-native language and platform for intelligent agents and autonomous software.

Android 16 fork. AI as a platform primitive. Twelve capabilities, one shared runtime, every app. OEM-pluggable. Apache 2.0.

Jupyter notebooks for testing Prisma AIRS AI Runtime with your LLM

An open-source AI runtime framework focused on task execution, traceability, and delivery closure.

A tutorial showing how to use Software NGFWs to inspect Google Cloud traffic using Network Security Integration.

L0: The Missing Reliability Substrate for AI. Streaming-first. Reliable. Replayable. Deterministic. Multimodal. Retries. Continuation. Fallbacks (provider & model). Consensus. Parallelization. Guardrails. Atomic event logs. Byte-for-byte replays.

Run a 2-min local benchmark → predict how long your AI job will take on cloud GPU (T4/V100/A100). No guessing, no wasted money.

The AI Contract Runtime

Universal schema-based runtime for prompts, skills, and AI composition. Framework-independent, portable, and enterprise-ready.

Modular AI runtime with LLM reasoning, memory, and pluggable action modules.