# Laddr Documentation

## Docs

- [Contributing](https://laddr.agnetlabs.com/community/contributing.md): How to contribute to the Laddr project - development workflow, code style, and areas for contribution
- [Filesystem Agent Example](https://laddr.agnetlabs.com/examples/filesystem-agent.md): Complete example of a filesystem exploration agent using MCP - setup, usage, and customization
- [MCP Examples](https://laddr.agnetlabs.com/examples/mcp-examples.md): Collection of MCP integration examples for Laddr agents - filesystem, Git, PostgreSQL, and HTTP servers
- [Your First Agent](https://laddr.agnetlabs.com/getting-started/first-agent.md): Build your first Laddr agent from scratch - step-by-step tutorial to create a web research agent
- [Installation](https://laddr.agnetlabs.com/getting-started/install.md): Install and set up Laddr on your system - complete setup guide with Docker, Python, and environment configuration
- [Playground & Dashboard](https://laddr.agnetlabs.com/getting-started/playground.md): Use the Laddr dashboard to monitor and interact with agents - real-time traces, job history, and system metrics
- [Agent Configuration](https://laddr.agnetlabs.com/guides/agents/agent-config.md): Complete reference for configuring Laddr agents - all parameters, options, and best practices
- [Agent Authoring](https://laddr.agnetlabs.com/guides/agents/authoring.md): Best practices and patterns for designing effective agents - design principles, patterns, and common pitfalls
- [Local Runtime](https://laddr.agnetlabs.com/guides/local-runtime.md): Run Laddr locally with in-memory queue and SQLite for testing and development - no Docker required
- [Ollama Integration](https://laddr.agnetlabs.com/guides/ollama.md): Configure and use Ollama for running local LLM models with Laddr agents - Docker setup, configuration, and examples
- [Scaling & Operations](https://laddr.agnetlabs.com/guides/scaling-and-ops.md): Scale Laddr agents and deploy to production - horizontal scaling, queue backends, monitoring, and performance tuning
- [Storage & Artifacts](https://laddr.agnetlabs.com/guides/storage-and-artifacts.md): Configure storage backends and manage artifacts in Laddr - MinIO, S3, local storage, and best practices
- [Custom System Tools](https://laddr.agnetlabs.com/guides/system-tools/custom-system-tools.md): Complete guide to creating custom system tool overrides using Laddr's base tool classes - patterns, examples, and best practices
- [Custom System Tools Quickstart](https://laddr.agnetlabs.com/guides/system-tools/custom-system-tools-quickstart.md): Get started with custom system tools in 5 minutes - quick examples and common use cases
- [MCP Integration](https://laddr.agnetlabs.com/guides/tools/mcp-integration.md): Connect Laddr agents to Model Context Protocol (MCP) servers - transport methods, lifecycle, and examples
- [Tool Configuration](https://laddr.agnetlabs.com/guides/tools/tool-config.md): Complete guide to creating and configuring tools for Laddr agents - decorators, schemas, patterns, and best practices
- [Traces & Database](https://laddr.agnetlabs.com/guides/traces.md): How to configure tracing, databases, and Langfuse in Laddr - SQLite, PostgreSQL, and Langfuse integration
- [What is Laddr?](https://laddr.agnetlabs.com/introduction/index.md): Scalable multi-agent intelligence framework for building and orchestrating intelligent agent systems
- [Key Features](https://laddr.agnetlabs.com/introduction/key-features.md): Explore Laddr's core capabilities and features - scalability, observability, extensibility, and configurability
- [Quickstart](https://laddr.agnetlabs.com/introduction/quickstart.md): Get started with Laddr in under 60 seconds - run your first agent
- [API Reference](https://laddr.agnetlabs.com/reference/api.md): Complete REST API documentation for Laddr - endpoints, authentication, WebSockets, and examples
- [CLI Reference](https://laddr.agnetlabs.com/reference/cli.md): Complete reference for all Laddr CLI commands - installation, agent management, running, and monitoring
- [Agent Schema](https://laddr.agnetlabs.com/reference/schemas/agent-schema.md): Complete schema reference for Laddr agent configuration - required fields, optional fields, and examples
- [Tool Schema](https://laddr.agnetlabs.com/reference/schemas/tool-schema.md): Complete schema reference for Laddr tool configuration - decorator parameters, schema generation, and examples