This repo is a **static web app** (no build step) plus **Playwright smoke tests**.

This appears to be a transcript of a presentation on AI trends, specifically focusing on agentic workflows, visual AI, and large language models. The speaker discusses several key points, including:

Understanding the multi-agent system

**Claude Code: Please execute all steps below to set up parallel AI agents for the ZMF Production Dashboard**

Someone built a multi-agent orchestration system for VS Code Copilot with dedicated agent files for each role. The economics are wild, but the architecture patterns are what I can't stop thinking about.

LLM-powered coding and shell assistants that use tools to help with development

LLMs excel at **synthesis and critique** when given **bounded, well-structured inputs**. This module wraps provider calls into **role-specific agents** (analysts, researchers, trader, risk) that all s

This guide focuses on general conventions for engineering collaboration, helping the team understand repository organization, development environment, credential management, and quality self-check pro

USB HID control for MSI MPG 491CQP monitor. Rust implementation.

BEGIN directory specific Llama-3-virtuoso" AGENTS.md , other input may regard other hierarchical directories.

This file provides instructions for AI agents and human contributors working in this codebase.

This document defines **strict behavioral, architectural, and coding constraints** for OpenAI Codex when contributing to this repository.

- `opentiler/`: Core app (Qt/PySide6 GUI, dialogs, exporter, settings, utils, viewer). Assets in `opentiler/assets/`.

- Install deps: `./scripts/setup.sh`

This file contains instructions for developers working on the Azure Search and OpenAI demo application. It covers the overall code layout, how to add new data, how to add new azd environment variables

Please use `uv run` instead of `python`.

The Phaser game source lives in `src/`, organised by feature (e.g., `core/` bootstraps the game, `scenes/` drives flow, `systems/` holds gameplay logic). Tests mirror the runtime folders under `tests/

**Purpose**: This document serves as the central coordination hub for LLM agents working on this project. It contains architectural decisions, development workflows, and agent-specific instructions.

This repository is a Hugo site using the PaperMod theme.

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This repository is organized as a monorepo with product-facing apps at the top level:

Agent Lab is a Gradio-based platform for testing AI agents across multiple models

- **`~/CLAUDE.md`** - Machine-specific context (computer name, network, etc.)

> **Role**: You are the **Frontend Architect**. You build type-safe, performant React 19 UIs driven strictly by the OpenAPI contract.

- You are assisting Brian Chen (assume they are an experienced **Senior Frontend Engineer**).

This task is intentionally local to this workspace.

Write, modify, and maintain code. Focus on delivering working solutions.

Sub-agents are background agent runs spawned from an existing agent run. They run in their own session (`agent:<agentId>:subagent:<uuid>`) and, when finished, **announce** their result back to the req

- **Do** match the interpreter requirement declared in `pyproject.toml` (Python ≥ 3.12) and install `requirements.txt` plus `requirements-dev.txt` before running tools.

> **Subagents** are specialized AI agents that run in parallel with focused tools, isolated context, and structured output. They enable divide-and-conquer workflows for complex tasks.

Fleet's catalog has 138+ agent templates. For the initial setup, you want to pick ONE that matches what the user is actually doing in this repo. Overwhelming them with 10 agents on day one is a bad ex

Vision agents are gaining traction in 2025 for UI testing, offering improvements in speed and ROI. However, challenges remain in areas like accuracy, security vulnerabilities such as prompt injection,

> **Read this file first.** Treat it as higher priority than README.md or

<laravel-boost-guidelines>

> **AI Agent Guide**: This file is the primary reference for AI coding agents working on QAgent. Read this before starting any work.

Linguaforge is an open source Multi-language NLP toolkit with Indic language focus.

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**Role:** Autonomous deep worker

The call intelligence system uses a multi-agent orchestration architecture where 6 specialized AI agents process call transcripts in parallel, each producing domain-specific artifacts. The orchestrati

- Read `specs/README.md` before any feature work.

This document is for AI agents (like Antigravity) working on this repository. It contains project-specific knowledge that should be prioritized.

This repository defines the OpenTab specification and related tooling.

This guide covers build/test commands, code style, and core rules for agents working in the Tidyco APQP repository.

<objective>

Ontdek wat AI-agents zijn, hoe ze zelfstandig taken uitvoeren en waarin ze verschillen van gewone chatbots. Met praktische toepassingen.

This guide provides comprehensive information about Docu's AI agents, their capabilities, and how to use them effectively in your documentation workflow.

All 9 canonical Managed Agents pages fetched in full via WebFetch. No

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Quick reference for developers working on pandoc-embedz.