Art & 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.

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

AI-powered market intelligence workflow that collects market updates, summarizes articles, and generates market brief reports.

Review AI-generated code changes in a local GitHub-style diff UI with inline comments for coding agent workflows

Build, debug, and deploy declarative agent workflows with this framework for developers and teams.

Recently updated agent-adjacent repository: ohyeh/tmux-agent-tools.

VoyageGT is an AI-powered travel agent that helps you plan trips anywhere in the world. It uses real-time web search via Tavily, smart reasoning, and a dual-path agentic workflow to create personalized, realistic, and well-organized travel itineraries.

Annotation-driven enterprise multi-agent workflow framework built on LangChain and LangGraph, featuring registry-based orchestration, provider extensibility, workflow planning, runtime diagnostics, health checks, memory/cache abstractions, sandboxing, and observability.