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.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
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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[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.
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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.
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Appends relevant hashtags to journal entries based on content analysis. Intended for LLM execution.
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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.
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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.
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Add new Agent templates to the meta-agent-skills framework.
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