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For agents: TypeScript framework and CLI for building AI agents and multi-agent systems, with quick start, project structure, and API-based agent, knowledge base and prompt

ai agentsmulti-agent systemstypescriptrunflow cliagent framework

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llms.txt
https://docs.runflow.ai/llms.txt
llms-full.txt
https://docs.runflow.ai/llms-full.txt
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2023-05-10
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AI agents and MCP · APIs and SDKs · Developer tools
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T11:16:32.939Z. Cached copy · Source on runflow.ai

# Runflow

- [Welcome to Runflow](https://docs.runflow.ai/index.md): Build intelligent AI agents and multi-agent systems with TypeScript
- [CLI Overview](https://docs.runflow.ai/cli/introduction.md): Command line interface to manage AI agents, knowledge bases, and prompts via API Portal
- [Quick Start](https://docs.runflow.ai/quickstart.md): Build your first Runflow agent in 5 minutes
- [Project Structure](https://docs.runflow.ai/project-structure.md): How to organize your Runflow agent project
- [Best Practices](https://docs.runflow.ai/best-practices.md): Practical tips for building effective Runflow agents
- [Dynamic Data](https://docs.runflow.ai/dynamic-data.md): Inject dates, user info, and runtime context into your agents
- [CLI Installation](https://docs.runflow.ai/cli/installation.md): Install Runflow CLI globally
- [Login & Authentication](https://docs.runflow.ai/cli/login.md): Sign in to RunFlow with rf login — browser login by default, API key for automation
- [Self-Hosted & Multiple Environments](https://docs.runflow.ai/cli/self-hosted.md): Point the CLI at your own RunFlow installation and switch between environments
- [Create Agent](https://docs.runflow.ai/cli/create.md): Create new AI agents from templates with rf create
- [Agents Management](https://docs.runflow.ai/cli/agents.md): Manage AI agents with the CLI - deploy, clone, duplicate, and delete
- [Prompts Management](https://docs.runflow.ai/cli/prompts.md): Manage prompt templates with full CRUD operations using rf prompts
- [Knowledge Base Management](https://docs.runflow.ai/cli/kb.md): Manage vector stores for RAG (Retrieval Augmented Generation) with rf kb
- [Profile Management](https://docs.runflow.ai/cli/profiles.md): Manage login profiles and switch between tenants and environments
- [Local Testing](https://docs.runflow.ai/cli/test.md): Test agents locally with web interface and live reload
- [Runflow connector for Claude](https://docs.runflow.ai/mcp/claude-connector.md): Use your Runflow workspace from Claude: inspect agents and executions, review answers, and manage prompts, knowledge bases and connectors
- [Scopes](https://docs.runflow.ai/mcp/scopes.md): OAuth scopes used by the Runflow connector for Claude
- [Public tools](https://docs.runflow.ai/mcp/public-tools.md): Every tool the Runflow connector exposes to Claude
- [Agents](https://docs.runflow.ai/core-concepts/agents.md): Learn how to create and configure intelligent AI agents
- [HTTP Routing](https://docs.runflow.ai/core-concepts/http-routing.md): Expose several endpoints from one agent using the path and method of the Agent API URL
- [Supervisor (Multi-Agent)](https://docs.runflow.ai/core-concepts/supervisor.md): Orchestrate multiple specialized agents with automatic LLM-based routing
- [Cross-Agent SDK](https://docs.runflow.ai/core-concepts/cross-agent.md): Invoke other agents, read their executions, walk their threads, write reviews, and manage their memory — all tenant-scoped
- [Conversation Hub SDK](https:
…

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