A framework-agnostic, git-native standard for defining AI agents
The open standard for proving any file is real, unaltered and sealed
Deep Learning Primitives and Mini-Framework for OpenCL
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
OpenVX Samples to use with any conformant implementation of OpenVX
The open, machine-readable standard for the Somali language — orthography, grammar, terminology, translation, and AI/benchmark resources, as a versioned, citable RFC-style catalog.
An open standard for JSON test reporting
An open standard for portable, interoperable AI memory across tools, sessions, and devices.
AI agent plugin for Jira — CLI tools for issues, worklogs, sprints, and more | Server/DC & Cloud
Agent Skill for generating AGENTS.md files following the agents.md convention | Claude Code compatible
1,486 real web design systems, extracted into machine-readable specs. An MCP server for AI coding agents — so what they build has taste, not just working code.
Government of Canada Digital Playbook / Guide numérique du gouvernement du Canada
Curated Agent Skills collection for AI-assisted development. Open standard — agentskills.io. Portable across Claude Code, Cursor, Copilot, Codex, Gemini CLI, and 30+ more agents. By Netresearch.
WeMush Open Labeling Standard
HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, and more through one API, with sessions, streaming, files, cancellation, and failure handling. Implements the Unified Harness Protocol (UHP), an open standard. Your keys, your infrastructure.
The Cyphal specification documents are maintained here.
Agent Skill for Git workflow best practices - branching, commits, PR workflows | Claude Code compatible
Open source RFID standard for 3D printer filament spools
The open standard for runtime agent control — declarative hooks, policy enforcement, and observability across AI agent frameworks.
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