Art & Design

Squid Mesh is a Jido-native durable workflow layer with a friendly Elixir DSL for human-in-the-loop and agentic workflows

maw.js — Multi-Agent Workflow orchestrator. Remote tmux orchestra control with CLI + React/Three.js Web UI. Evolved from multi-agent-workflow-kit.

Deterministic graph runtime for agent workflows in Swift. Same input, same output, every time — golden-testable, checkpoint-resumable, and built entirely on Swift concurrency.

Fluent DSL for building durable agentic workflows and ontologies in .NET.

No hype, just architecture. A technical deep-dive into the raw components of the AI revolution—from Large Language Models to Agentic workflows—analyzed through the lens of scalable system design.

Local control tower for orchestrating tmux-based AI agent workflows

Containerise the AECA agentic workflow system with a single command. Multi-phase CI/CD pipeline: validate, build wheel, generate Dockerfile & compose, build production image.

Flowise-based multi-agent AI orchestration system using RAG, OpenAI embeddings, FAISS vector search, and sequential agent workflows for retrieval-grounded content generation and enterprise AI pipeline design.

Local-first AI development platform — VS Code extension · CLI · Web UI. Multi-agent workflow: Planner→Writer→Reviewer→Tester. Proudly Made in Canada.

wanman is an open-source agent matrix runtime inspired by Japanese one-man trains. It lets human users step back into an observer role while local agent runtimes coordinate autonomous multi-agent workflows, task execution, and artifacts.

Recently updated agent-adjacent repository: stonefruit/Data2Evidence-coding-agent-tools.

MageLab CLI — LLM chat and agentic tool use from the terminal

A high-performance, content-addressed database designed for AI agent workflows with cryptographic proofs and immutable versioning.

Project orchestration and AI agentic workflow utility.

My hands-on journey into Agentic AI: starting with simple OpenAI API connections and evolving into complex, multi-agent workflows using LangChain. Exploring, learning, and building one agent at a time

Desktop AI agent orchestration workspace built with Tauri, Rust, Svelte, and graph-based multi-agent workflows.

Agentic AI-based feedback analysis system that automatically processes app reviews and support emails, classifies issues using multi-agent workflows, generates structured tickets, tracks metrics, and provides a Streamlit dashboard — built fully in Python without any paid APIs.

Long-context briefing packs for AI agent workflows, designed for MiMo V2.5 scale

Manage AI agent workflows with a git-native issue tracker that uses JSONL files as the database, requiring no extra services or binaries.

Create and manage AI agent workflows visually with DOT Studio, enabling node-by-node orchestration and real-time execution monitoring.

Build AI agent teams in your terminal with one command using Neurogent, a TypeScript CLI for fast local agent workflows

Build an AI operating system for context, memory, and agent workflows

Build a complete AI agent workflow from idea to production with a clear system for planning, coding, and delivery

Build AI agent workflows, PRD templates, and guides to ship software faster from a product leader’s view