A fully customizable and self-hosted sandboxing solution for AI agent code execution and computer use. It features out-of-the-box support for backtracking, a simple REST API and Python SDK, automatic port forwarding, and secure MicroVM isolation. Perfect for safely running, testing, and backtracking multi-step agent workflows.

This repository contains Cursor Security Rules designed to improve the security of both development workflows and AI agent usage within the Cursor environment. These rules aim to enforce safe coding practices, control sensitive operations, and reduce risk in AI-assisted development.

Google Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to website traffic, user behavior, and performance data with schema discovery, server-side aggregation, and safe defaults that reduce data wrangling.

Sculptor is a UI for running parallel coding agents in safe, isolated sandboxes, enabling powerful agent workflows.

A Go library for building performant, type-safe AI agents that execute structured reasoning workflows.

SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for AI agent teams. Works for any team with repeatable processes: Software, Marketing, Research, Legal, Operations.

MCP server addon for Blender - Control Blender via AI agents through 51 powerful tools. Made to be used with PolyMCP for intelligent tool orchestration. Features thread-safe execution, auto-dependency installation, and complete 3D workflow automation.

Declarative runbook executor for AI agents. Validate, dry-run, and safely run real CLI workflows.

Advanced, end-to-end, enterprise-grade agentic AI pipeline that automates competitor ad intelligence, performs multimodal creative strategy extraction, enables brand-safe adaptation, and generates AI video ads using LLM reasoning, multimodal analysis, and deterministic workflow orchestration with full auditability.

Workflow enforcement for coding agents: Claude Code hooks, Codex AGENTS/skills/MCP, and shared guardrails for safer, repeatable AI-assisted development.

Portable Spec-Driven Development (SDD) template with Docker Compose, Claude/Gemini/OpenAI agent-ready workflows, brownfield/greenfield bootstrapping, and Human-in-the-Loop (HITL) guardrails for safe, scalable coding.

A deterministic reference monitor with confinement runner for local AI-agent workflows. It aims to provide a safe and secure environment for your agent to work without destroying your data and personal information.

Agent-ready SKILL.md library for DevOps/SRE workflows (Claude/OpenCode compatible), with safe-by-default runbooks, a simple schema, and validation.

A comprehensive resource for ServiceNow developers to enhance their AI-driven workflows. NowDev-AI-Toolbox provides versioned prompts, API context, and best practices tailored for various AI technologies. Ensure high-quality, safe, and efficient development on the Now Platform with these structured, agent-optimized resources.

PocketMesh is a modern, type-safe, async-native framework for building A2A-enabled agentic applications and workflows in TypeScript.

Enterprise-grade SAFe automation toolkit: AI-powered Agile Release Train (ART) planning, story decomposition, dependency mapping, and bi-directional Linear-Confluence sync. Features CLI-driven agent workflows, Docker deployment, webhook integration, and comprehensive value delivery analytics for scaled agile transformation.

Tool-agnostic framework for AI-agent-ready projects: safe defaults, project knowledge base, and extensible skills/workflows.

11 examples showing how to guide AI agent behavior in BeeAI using constraints for safe, predictable workflows.

🤖 Orchestrate AI agent workflows in Java/Spring Boot with Autonome—type-safe, production-ready, and easy-to-integrate for enterprise solutions.

Ready-to-use Docker environments for safely running autonomous AI agents. Preconfigured setups for Flutter, Flutter Android, React, and Django enable fast, secure AI agent development without risking your system. Perfect for prototyping and AI workflow automation.

Private Repo Refactor & Test — Fully Local An agentic coding workflow powered by GitHub Copilot SDK + Foundry Local. Scans code, detects bugs, applies safe refactors, runs tests, and produces a PR-style summary — all on-device, no cloud model required.

Agent Capability Standard is an open specification for composable AI agent capabilities. It defines 36 atomic capabilities across 9 cognitive layers, a type-safe workflow DSL, and grounded world modeling with trust-aware conflict resolution. Built on the Grounded Agency philosophy, it makes agent reliability structural—not optional.

RustyFlow is a lightweight, high-performance agent framework built in Rust for developers who need reliable, efficient, and type-safe AI workflows. A complete rewrite of the Python-based PocketFlow, RustyFlow brings memory safety, fearless concurrency, and zero-cost abstractions to agent-based systems.

Safe agentic drift-optimization workflows around JAX-in-Cell

Staged MCP-first Agent Skill for Pencil / OpenPencil design orchestration, section-safe edits, audits, and fallback-aware workflows.

DSPy-inspired AI Agent Framework for Go. Build structured LLM workflows and tool-using agents with type-safe signatures, composable modules, and pluggable providers.

The Universal, Security-First AI Guardian Agent. A cross-platform Rust application that puts a human in the loop for safe, auditable workflow automation.

OpenClaw Skills Library 2,510 Production-Ready Skills for AI Agent Automation Give your OpenClaw agent the complete puzzle. Modular, observable, and safe automation workflows for Ubuntu Linux systems. Built for professionals who need reliability.

Safe-by-default CLI that generates and updates AGENTS.md / RUNBOOK.md for AI coding agents using marker-based patches, diff-first workflow, and conservative repo auto-detect.

CrystalClear Skills is a modular Skill OS for building safe, extensible agentic workflows. It defines atomic to meta‑level skills, governance rules, and integration patterns for APIs, webhooks, and automation systems. The canonical source of truth for the CrystalClear Intelligence Engine.