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

Zero, your trustworthy AI teammate for real work.

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 framework. Build an AI team by describing what you want. Run entire departments with agents 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

Open-source AI gateway and agent-task runtime that gives teams one operational control plane across cloud and local models, with built-in policy, spend controls, and first-class OpenTelemetry.

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.

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

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

Unified execution runtime for LLM and ML programs.

Local-first AI runtime for Apple Silicon with CLI and macOS operator workflows for LoRA training, benchmarking, and evaluation.

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.

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.

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.