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.

Local AI engine in Rust: run GGUF and ONNX models for chat, vision, speech and embeddings on your own GPU, RAM and CPU, with automatic placement and OpenAI-compatible APIs.

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.