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

Ruby's most capable AI runtime

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

Local AI operations console for supervised agent work.

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.

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.

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.

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.

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

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.

Autonomous AI Agent Infrastructure Platform — OpenAI-compatible AI gateway with MCP support, multi-agent orchestration, tool calling, observability, memory, RAG, AI workflows, and unified infrastructure for any LLM provider.