Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
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Updated
Jan 29, 2026 - TypeScript
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
the easiest way to run natural language-described workflows automatically
The fastest Trust Layer for AI Agents
A free and open-source toolkit for running other people's code in your applications.
AI-native application framework and runtime, simply write a YAML file.
AutomatosX is an orchestrates AI agents, workflows, and memory
Bud AI Foundry - A comprehensive inference stack for compound AI deployment, optimization and scaling. Bud Stack provides intelligent infrastructure automation, performance optimization, and seamless model deployment across multi-cloud/multi-hardware environments.
A minimal kernel for agentic systems. Runtime-first architecture for programmatic tool execution. Inspired by Anthropic's Code Execution with MCP.
A self-evolving, AI-native language and platform for intelligent agents and autonomous software.
Jupyter notebooks for testing Prisma AIRS AI Runtime with your LLM
A tutorial showing how to use Software NGFWs to inspect Google Cloud traffic using Network Security Integration.
L0: The Missing Reliability Substrate for AI. Streaming-first. Reliable. Replayable. Deterministic. Multimodal. Retries. Continuation. Fallbacks (provider & model). Consensus. Parallelization. Guardrails. Atomic event logs. Byte-for-byte replays.
Demo AI chat app with optional Prisma AIRS Runtime Security for before/after red team testing comparison
L0: The Missing Reliability Substrate for AI. Streaming-first. Reliable. Replayable. Deterministic. Multimodal. Retries. Continuation. Fallbacks (provider & model). Consensus. Parallelization. Guardrails. Atomic event logs. Byte-for-byte replays.
A tutorial to deploy and use AI Runtime Security on Google Cloud.
H is a simple runtime designed to be fast and memory-safe.
The Operating System for Agentic AI. The SmythOS Runtime Environment (SRE) is the open-source, cloud-native runtime for agentic AI. It gives developers a secure, modular foundation to build, run, and scale intelligent agents across local, cloud, and edge deployments.
Execution substrate of the ICE ecosystem. ICE Runtime enforces lifecycle, authority, and state transitions under the constraints defined by ICE Foundation. It does not decide what to do. It ensures that whatever executes is valid, traceable, and governable.
Official LAW-N Runtime Environment (LNRE) — a lightweight virtual machine and execution engine for LAW-N programs, time-aware instructions, and N-SQL operations. Handles bytecode, timing, routing, and runtime introspection for the LAW-N / Mind’s Eye cognition stack.
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
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