Art & Design

Secure agentic tool-use loop build with the Claude API - CCA-F study project

AI Agent Orchestration Platform — multi-agent workflows with visual canvas, multi-LLM support, custom tool building, Telegram integration, and template library.

Automation and wallet intelligence toolkit for the Arc ecosystem. Built for onchain monitoring, UserOps tracking, gas analysis, and future AI-agent workflows.

An open-source agentic workflow builder that generates, executes, debugs, and solidifies workflows through sandbox-driven agents.

A lightweight command-line interface (CLI) starting point for building agent workflows using Autodesk Platform Services (APS) APIs. Designed to be extended (by agents) for specific workflows, it comes bare-bones by design.

Building tools for AI agent workflows

A hands-on GenAI journey exploring LLM fine-tuning, RAG, diffusion models & agentic workflows. Built with PyTorch, LangChain & Hugging Face, this repo documents experiments in prompt engineering, RLHF, and AI app deployment. Less pure theory, more code because the absolute best way to master AI is by building and breaking things.

A collection of lightweight, stdlib-only Python utilities built for AI agents

Hermes agent toolchain — one-click setup scripts for Hermes CLI, providers, Chrome MCP, tmux, Ghostty

Build autonomous, immutable multi-agent workflows in Elixir using pure functional agents and a reliable OTP runtime.

Build AI agents that join, listen, and speak in X/Twitter Spaces with real-time transcription, LLM replies, and voice synthesis

Agent skill for LaTeX-based bilingual PDF translation with page-level visual QA.

AI sales mentor for real estate agents - workflows, listings, scripts, follow-up and operational support

SSOT for shared context used by TRAVLR agents, tools, and services

Inicio de la especialización de Building AI Agents and Agentic Workflows

The Specorator Workflow bundled in a Claude Plugin - spec-driven, agentic development workflow. Specs first, code second.

Automate SaaS service design and development with AI agents running multi-step workflows from PRD creation to full-stack implementation.

Evolutionary agent framework that captures failures as pain signals, distills them into reusable principles, and applies learned wisdom to avoid repeating mistakes — built as an OpenClaw plugin

🛠️ Build and explore multi-agent workflows in LangChain with a user-friendly UI for deep research and monitoring AI agents.

🚀 Build and manage multi-agent workflows in Azure AI Foundry using Python for streamlined orchestration and enhanced project control.

Hands-on examples for the NVIDIA NeMo Agent Toolkit (NAT) with Ollama as local inference backend - ReAct agents, custom Python tools, and multi-agent orchestration patterns on a single GPU workstation.

Build production-ready OpenClaw AI agent recipes for self-hosted, multi-channel gateways with configs, Docker Compose, and deployment patterns

Build and manage AI agents to automate data research, track markets, and run multi-agent workflows with an open-source framework.

ProjectScylla is a testing and optimization framework inspired by Odysseus’ trials, built to measure and improve agentic workflows under constrained decision-making. It evaluates resilience, adaptability, and trade-offs, ensuring agents optimize outcomes in complex environments.