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.

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.

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.

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

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.

Born for local models. The AI workspace built around on-device LLMs — not one that treats them as an afterthought.

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.