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

Top Open-Source AI Engineering Platform 2026 Qyvaria Kernel

Ruby's capable AI runtime

Composable agent runtime with enforced isolation boundaries

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

Open-source local AI platform for building, running, and extending AI systems with one unified runtime.

Local AI operations console for supervised agent work.

AutomatosX is an orchestrates AI agents, workflows, and memory

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

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.

The agent that learns how you decide - and proves it by never deciding for you. A local-first, loop-native runtime for a team of AI agents on your machine.

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.

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.

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

Official SDKs, API clients, and CLI/MCP tools for Daytona, the secure and elastic infrastructure for running AI-generated code

Inference-aware runtime for AI coding agents that reuses execution state to reduce repeated reasoning, repo rereads, tool calls, and failure loops.