Documentation
AffinityBots Documentation
Step-by-step guides to help you build, configure, and deploy powerful AI agents.
Getting Started
Agents
Knowledge & Memory
Smart Tables
Store structured data your AI agents can read and write. Create tables for leads, contacts, inventory, and more.
6 min read
What is Knowledge
Learn how the knowledge base enables your AI agents to access and reference your documents and data.
5 min read
What is Memory
Understand how AI agents remember past conversations to provide personalized and consistent interactions.
5 min read
Workflows
Dynamic Workflows
Use hub-style delegation to route work adaptively across agents, then continue with sequential steps — all in the same unified builder.
9 min read
Sequential Workflows
Chain AI agents together in a linear pipeline for predictable, step-by-step automation using the unified workflow builder.
7 min read
Workflow Triggers
Configure how your workflows start with manual, webhook, scheduled, form, and integration triggers.
6 min read
Creating a Workflow
Step-by-step guide to building your first workflow with the visual workflow builder.
8 min read
Adding Guardrails
Validate and filter AI agent outputs to ensure quality, accuracy, and compliance in your workflows.
6 min read
Introduction to Workflows
Learn how workflows chain multiple AI agents together to automate complex multi-step processes.
5 min read
Tools & Integrations
API & MCP
MCP API server troubleshooting
Diagnose authentication, JSON-RPC, rate limits, tool scope, and runtime issues for the AffinityBots MCP endpoint at /api/mcp/server.
12 min read
MCP Reference
Complete reference for the AffinityBots MCP Server tools and their parameters.
10 min read
MCP Server
Access your AffinityBots agents and workflows from external apps using the Model Context Protocol (MCP).
8 min read