Comprehensive guide for building AI workflows, agents, and workforce systems with AgenticFlow. Use when designing workflows with various node types, configuring single agents, or orchestrating workforce collaboration patterns.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
AgenticFlow is a platform for building AI-powered automation workflows, intelligent agents, and workforce systems.
| Topic | When to Use | Reference |
|---|---|---|
| Workflow | Building automation flows with nodes | workflow/overview.md |
| Agent | Creating single intelligent agents | reference/agent/overview.md |
| Workforce | Orchestrating multiple agents | reference/workforce/overview.md |
Workflows are linear automation pipelines composed of sequential nodes. Each node performs a specific action.
| Guide | Description |
|---|---|
| overview.md | Core concepts, schemas, execution model |
| how-to-build.md | Step-by-step build guide |
| how-to-run.md | Execute workflows and handle results |
| node-types.md | Node type schemas and discovery |
| connections.md | Connection providers and setup |
| Category | Example Node Types | Purpose |
|---|---|---|
| AI/LLM | claude_ask, openai_chat, gemini | AI model calls, text generation |
| Image Generation | generate_image, dall_e | Create images from prompts |
| Data Processing | json_parse, text_transform | Transform and manipulate data |
| Integrations | slack_send, gmail, notion | Connect to 300+ external services (MCPs) |
| API Calls | http_request, webhook | HTTP requests and webhooks |
| File Operations | file_upload, pdf_parse | Upload, download, process files |
Note: Workflows in AgenticFlow are linear and sequential - nodes execute top to bottom with no branching or loops.
An Agent is an AI entity with specific capabilities, tools, and a defined persona.
To learn about agent configuration, load: reference/agent/overview.md
Workforce systems coordinate multiple agents to solve complex tasks collaboratively.
To understand orchestration patterns, load: reference/workforce/overview.md
For terminology and definitions, see reference/glossary.md.
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概要と使いどころ
[00] TnR ABSOLUTE RIGOR — Systemic Verification Doctrine. Forced cognitive exertion for high-stakes investigations. Mandates absolute deconstruction, mathematical proof chains, and ≥95% derived certainty. Zero-tolerance for heuristics or sentiment-based reasoning. Shortcuts are defined as intentional hallucinations.
日本語の概要は準備中です。原文の説明を表示しています。
Configures 2-Agent workflow between PM and implementation roles. Use when user mentions 2-Agent, 2エージェント, PM連携設定, Cursor設定, Cursor連携, 2-agent運用. Do NOT load for: 単独運用, ワークフロー実行, ハンドオフ処理.
Appends relevant hashtags to journal entries based on content analysis. Intended for LLM execution.
日本語の概要は準備中です。原文の説明を表示しています。
Add a new AI coding agent to Agent Sandbox. Creates all required files (Dockerfile, templates, CI, docs) and wires the agent into the CLI, proxy, and build system.
日本語の概要は準備中です。原文の説明を表示しています。
Add a new property to the AI agents database. Use when the user wants to add, create, or introduce a new column, property, field, or feature to track across all agents in the comparison matrix. Handles all four required steps - database updates, groups.json, table display, and GitHub issue templates.
日本語の概要は準備中です。原文の説明を表示しています。
Add new Agent templates to the meta-agent-skills framework.
日本語の概要は準備中です。原文の説明を表示しています。