Node Catalog

Add a DataFusion SQL session to an agent for data analysis capabilities

7 in2 outSecurity 8/10

Agent from Model

Creates an Agent object from a model Bit with configuration

5 in1 outSecurity 5/10

Lazy Register Function Tools

Indexes referenced Flow-Like functions into a vector DB so agents can discover tools via semantic search at runtime, keeping the context window lean.

3 in2 outSecurity 5/10

Register Function Tools

Adds referenced Flow-Like functions as callable tool references to an Agent

1 in1 outSecurity 5/10

Register KG Traverse Tool

Registers a knowledge graph traversal tool on the agent so it can query the graph mid-conversation

4 in1 outSecurity 6/10

Register MCP Tools

Adds Model Context Protocol (MCP) server tools to an Agent

3 in1 outSecurity 5/10

Register Memory

Gives the agent autonomous access to persistent memory tools (_memory_search, _memory_store, _memory_compress)

2 in1 outSecurity 7/10

Register Remote MCP Tools

Adds a connected app's MCP event as agent tools. Uses a short-lived app-to-app token (valid ~15 minutes) that is refreshed on every run.

6 in1 outSecurity 6/10

Register Thinking Tool

Enables Rig's built-in Thinking tool for reasoning capabilities

1 in1 outSecurity 5/10

Register Work IQ Tools

Gives the agent the Microsoft Work IQ tools (mail, calendar, files, people, chats, sites and Microsoft 365 Copilot) as the signed-in user. A tenant admin must enable Work IQ; tool calls are billed in Copilot Credits.

2 in1 outSecurity 8/10

Set Agent System Prompt

Sets the system prompt for an Agent to guide its behavior

2 in1 outSecurity 10/10

Embed Document

Creates an embedding vector for a document string using a cached embedding model

3 in2 outSecurity 6/10

Embed Image

3 in2 outSecurity unrated

Embeds an image using a loaded model

Embed Query

3 in2 outSecurity unrated

Embeds a query string using a loaded model

Load Embedding Model

2 in2 outSecurity unrated

Loads a model from a Bit

AI Extractor

Uses an LLM plus a JSON schema to extract structured data from free-form text

6 in3 outSecurity 4/10

AI Extractor from History

Extracts structured data by replaying an entire chat history through an LLM

5 in3 outSecurity 4/10

AI Extractor with Struct Schema

Uses an LLM and a reference struct's schema to extract structured data from free-form text

6 in3 outSecurity 4/10

Add Model Headers

Adds custom HTTP headers to a model for use with custom API endpoints

3 in2 outSecurity 5/10

Find Model

Finds the best model based on certain selection criteria

2 in2 outSecurity 9/10

Invoke Model

Invokes the configured model with the provided chat history. Set history streaming off to preserve and replay structured media responses.

3 in5 outSecurity 5/10

Invoke Simple

Invokes an LLM with a system prompt and user prompt, returning text and the full structured response.

5 in7 outSecurity 5/10

Invoke with Tools

Invokes an LLM that can call Flow tools/functions and routes each call to execution pins.

5 in4 outSecurity 5/10

LLM Branch

Routes execution based on an LLM-evaluated yes/no decision

3 in2 outSecurity 5/10

Summarize