
AI Agents as Simple as Markdown
AgentUse is a minimal-configuration CLI that lets you build production AI agents with just markdown files. Inspired by Claude Code’s elegant markdown-based configuration, AgentUse takes this philosophy further - your entire agent is a markdown file. Just set your API key and start building.Quick Start
Get up and running with your first agent in under 5 minutes
Examples
Browse ready-to-use agent examples
Why AgentUse?
The Problem
Current agent frameworks force an impossible choice:- Visual workflow tools give you drag-and-drop simplicity but create version control nightmares and vendor lock-in
- Traditional code frameworks offer power and flexibility but require hundreds of lines of boilerplate just to say “hello world”
The Solution
AgentUse makes your agents just markdown files. Not configuration files that generate code. Not visual flows that compile to JSON. The markdown IS the agent.Version Control Just Works
Version Control Just Works
Diff, review, and merge agents like any other code. Your agents are text files that integrate seamlessly with Git.
Share Agents with a URL
Share Agents with a URL
Zero Learning Curve
Zero Learning Curve
If you can write a README, you can build an agent. No new syntax to learn.
Production Ready
Production Ready
Built-in retries, streaming, error recovery, and MCP support. Sub-second startup times.
Key Features
1
Fast Startup
Run agents quickly with minimal overhead. Sub-second startup times for rapid deployment.
2
Multi-Provider Support
Works with Anthropic Claude (including OAuth), OpenAI GPT, and OpenRouter with flexible API key management.
3
MCP Integration
Connect to any Model Context Protocol server for database, filesystem, and API access.
4
Sub-Agent Support
Build complex workflows by composing multiple specialized agents.
How It Works
AgentUse agents are defined using a simple markdown format with minimal configuration:hello.agentuse
and run:
What Can You Build?
- MCP-Powered Tools - Access databases, filesystems, and APIs through MCP servers
- Multi-Agent Systems - Compose specialized agents for complex workflows
- Automation Scripts - Replace complex bash scripts with intelligent agents
- Data Processing - Transform and analyze data with natural language
- Content Generation - Create content with consistent voice and style
- Integration Workflows - Connect multiple services through MCP protocols