Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
Zero, your trustworthy AI teammate for real work.
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
Top Open-Source AI Engineering Platform 2026 Qyvaria Kernel
cruby's capable AI runtime
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.
Open-source local AI platform for building, running, and extending AI systems with one unified runtime.
Android 16 fork. AI as a platform primitive. Twelve capabilities, one shared runtime, every app. OEM-pluggable. Apache 2.0.
AI workspace and runtime for projects, chats, providers, memory, approvals, and supervised agents.
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.
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.
Local-first AI runtime for Apple Silicon with CLI and macOS operator workflows for LoRA training, benchmarking, and evaluation.
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.
Official SDKs, API clients, and CLI/MCP tools for Daytona, the secure and elastic infrastructure for running AI-generated code
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