OpenAgent — The Open Agent Platform

# Docs - [Introduction](/docs/introduction): The open-source infrastructure for production AI agents and knowledge bases. - [Install](/docs/install): Get OpenAgent running and send your first AI-powered message in under 5 minutes. - **Guides** - [Build a Chat Assistant](/docs/build-a-chat-assistant): Create a chat assistant backed by any LLM provider. - [Add a Knowledge Base](/docs/add-a-knowledge-base): Enable RAG so your assistant answers from your own documents. - [Tools & Automation](/docs/tools-and-automation): Give your assistant the ability to act — browse the web, call APIs, or delegate to sub-agents. - **References** - Chat - [Chat](/docs/chat): How conversation works in OpenAgent — request lifecycle, Message records, feedback, and suggestions. - [Agent Configuration](/docs/chat/agent-configuration): Store fields that control conversation behavior — prompt, memory, rate limiting, suggestions, and content filtering. - Basic - [Stores](/docs/basic/stores): Complete field reference for the Store — the central unit of AI orchestration in OpenAgent. - [Chats](/docs/basic/chats): Conversation sessions in OpenAgent and how they relate to Stores and Messages. - [Messages](/docs/basic/messages): Per-turn records inside a Chat, including the response, retrieval context, and tool activity. - Knowledge Base - [Files](/docs/knowledge-base/files): Uploading, managing, and troubleshooting document ingestion in a Store. - [Vectors](/docs/knowledge-base/vectors): How document chunks are embedded, stored, and searched for knowledge base retrieval. - [Resources](/docs/knowledge-base/resources): Supporting knowledge assets and related objects exposed alongside Files and Vectors. - Connectors - Providers - [Model Providers](/docs/connectors/providers/model-providers): Connect and orchestrate Large Language Models within the OpenAgent infrastructure. - [Embedding Providers](/docs/connectors/providers/embedding-providers): Vector embedding ser