# officeLLM

## Docs

- [Managers API](https://officellm.mintlify.app/api/managers.md): API reference for manager agent functionality
- [OfficeLLM](https://officellm.mintlify.app/api/officeLLM.md): Main API for creating and managing multi-agent systems
- [Providers API](https://officellm.mintlify.app/api/providers.md): API reference for LLM provider implementations
- [Types API](https://officellm.mintlify.app/api/types.md): TypeScript type definitions and interfaces
- [Workers API](https://officellm.mintlify.app/api/workers.md): API reference for worker agent functionality
- [Configuration Reference](https://officellm.mintlify.app/configuration.md): Complete reference for configuring OfficeLLM managers, workers, and tools
- [Extending Providers](https://officellm.mintlify.app/contributing/extending-providers.md): officeLLM's provider system is designed to be easily extensible. Adding a new LLM provider requires minimal code changes.
- [Architecture](https://officellm.mintlify.app/core-concepts/architecture.md): How OfficeLLM implements multi-agent coordination
- [Memory System](https://officellm.mintlify.app/core-concepts/memory.md): Store and retrieve conversation history with flexible storage backends
- [Providers](https://officellm.mintlify.app/core-concepts/providers.md): LLM provider configuration reference
- [Basic Usage](https://officellm.mintlify.app/examples/basic-usage.md): Simple examples of using officeLLM for multi-agent tasks
- [Installation](https://officellm.mintlify.app/installation.md): Install officeLLM and set up your development environment
- [Introduction](https://officellm.mintlify.app/introduction.md): A TypeScript framework for building multi-agent AI systems with continuous execution
- [Quick Start](https://officellm.mintlify.app/quick-start.md): Get up and running with officeLLM in minutes

## OpenAPI Specs

- [openapi](https://officellm.mintlify.app/api-reference/openapi.json)