---
title: Agent Systems Catalog
description: Overview of all hve-core agent systems with workflow documentation and quick links
sidebar_position: 1
author: Microsoft
ms.date: 2026-02-12
ms.topic: overview
keywords:
- github copilot
- agents
- agent catalog
estimated_reading_time: 5
---
hve-core organizes specialized agents into functional groups. Each group combines agents, prompts, and instruction files into cohesive workflows for specific engineering tasks.
| Group | Agents | Complexity | Documentation |
|-------------------------------------|----------|-------------|------------------------------------|
| RPI Orchestration | 5 | High | [RPI Documentation](../rpi/) |
| GitHub Backlog Management | 1 active | Very High | [Backlog Manager](github-backlog/) |
| ADO Integration | 1 | Medium-High | Planned |
| Document Builders | 4 | Medium-High | Planned |
| Data Pipeline | 4 | Medium | Planned |
| DevOps Quality | 2 | High | Planned |
| Meta/Engineering | 1 | High | Planned |
| Infrastructure | 1 | Very High | Planned |
| Utility | 1 | Low-Medium | Planned |
| [Design Thinking](#design-thinking) | 2 | High | Active |
## RPI Orchestration
The Research, Plan, Implement methodology separates complex tasks into specialized phases. Five agents (task-researcher, task-planner, task-implementor, task-reviewer, and the RPI orchestrator) coordinate through planning files to deliver structured engineering workflows. See the [RPI Documentation](../rpi/) for the full guide.
## GitHub Backlog Management
Automates issue discovery, triage, sprint planning, and execution across GitHub repositories. The backlog manager agent orchestrates five distinct workflows with three-tier autonomy control. See the [Backlog Manager Documentation](github-backlog/) for workflow guides.
## ADO Integration
Bridges Azure DevOps work items with local Copilot workflows. The ADO integration agent handles work item discovery, planning file creation, pull request generation, and build status monitoring.
## Document Builders
Four specialized agents for creating structured documents. Includes builders for Architecture Decision Records, Business Requirements Documents, Product Requirements Documents, and security plans.
## Data Pipeline
Processes and transforms data across formats and systems. Four agents handle data extraction, transformation, validation, and loading workflows.
## DevOps Quality
Two agents focused on code quality and deployment reliability. Covers PR review automation and build pipeline analysis.
## Meta/Engineering
The prompt builder agent creates and validates prompt engineering artifacts. Supports interactive authoring with sandbox testing for prompts, instructions, agents, and skills.
## Infrastructure
Manages cloud infrastructure provisioning and configuration. Handles Bicep and Terraform deployments with validation and drift detection.
## Utility
General-purpose agents for common development tasks such as file organization, content transformation, and small automation helpers.
## Design Thinking
The Design Thinking agents provide AI-assisted coaching through a nine-method, three-space framework for human-centered design.
| Agent | Purpose |
|---------------------|--------------------------------------------------------------|
| `dt-coach` | Coaches teams through all 9 DT methods with session tracking |
| `dt-learning-tutor` | Teaches DT curriculum with exercises and assessments |
> Brought to you by microsoft/hve-core
---
<!-- markdownlint-disable MD036 -->
*🤖 Crafted with precision by ✨Copilot following brilliant human instruction,
then carefully refined by our team of discerning human reviewers.*
<!-- markdownlint-enable MD036 -->microsoft/hve-core
Publicmirrored fromhttps://github.com/microsoft/hve-coreAvailable
docs/agents/README.md
82lines · modepreview