ai-runtime

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

Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)

Okou connects to the tools your team already uses and does the work — across marketing, sales, engineering, and operations, under your control.

Open-source local AI workspace — advancing on-device inference.

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

The fastest Trust Layer for AI Agents

An agentic runtime

Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference — in pure Python with async/await.

Top Open-Source AI Engineering Platform 2026 Qyvaria Kernel

Composable agent runtime with enforced isolation boundaries

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

An AI-native OS. Models run on your own hardware, nodes federate peer-to-peer with no broker, and the API is OpenAI-compatible. Boots, has its own Wayland compositor, and runs on 8GB. Apache 2.0.

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

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

AI workspace and runtime for projects, chats, providers, memory, approvals, and supervised agents.

Windows utility focused on one-click local AI setup, local AI runtime, and Windows AI setup for local AI workflows.

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.

World's first compiler and execution platform for AI systems — turn prompts, skills, and multi-step agent workflows into versioned, packageable software that runs with dependency-aware parallel execution.

Deploy AI-generated web apps to your own Kubernetes cluster in seconds, over MCP. No container build on the deploy path.

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.