Agents - Custom AI Assistants
Create and customize AI agents with unique personalities, expertise, and behaviors
Create and customize AI agents with unique personalities, expertise, and behaviors
Overview
Bike4Mind supports multiple database backends to accommodate different deployment scenarios and enterprise requirements.
This document explains how to configure Bike4Mind to use AWS DocumentDB instead of MongoDB Atlas.
Overview
Manage LLM model configurations, access control, ranking, and fallback behavior
Learn how to enhance your AI interactions by adding files as contextual knowledge to your notebooks.
How Bike4Mind remembers important information from your conversations
Configure rapid reply mappings that provide instant AI acknowledgments while full responses are generated
Use AI agents in Slack with @mentions, thread intelligence, and natural language commands for GitHub, Jira, and Confluence
Manage global system prompt files that are applied to all AI interactions across the platform
Browse, search, edit, and manage AI tool definitions used by the platform