Node reference: every step and resource

Generated on 2026-10-20 from a running server by tools/reference.mjs. Do not edit this page by hand.

The Nodes catalog of the Studio holds 98 nodes. This reference lists each one with its fields, its outputs and its exits. It is read from the product itself.

How to read a node

Part	What it means
Step, Resource, Display step	A step runs in the order of the links. A resource does not run by itself: you plug it into a step. A display step shows a value on the canvas.
type	The technical name of the node. You see it in an exported Template.
Fields	What you fill in, in the window of the node. Name is the technical name of the field. In the Studio, the label of a field is the text of the column What it is.
Outputs	What the node produces. You use an output in a later step by its reference: the node name of the step, a dot, the name of the output, between two pairs of curly braces.
Entries, Exits	The dots on the left and on the right of a step, where the links go.
Places for resources	The places under a step where you plug resources.
Plugs into	For a resource: the kind of place it fits. A place accepts a resource when the kinds match. A star at the end of a kind means “any ending”.
Effects	What the node does besides computing its outputs. A node with no effect listed has none declared.

In this reference, a reference inside a description or a default value is printed without its curly braces.

The effects

Effect	What it means
reads outside	It reads from outside Agentivity: the web, a service, a mailbox. It changes nothing there, but it needs the network.
writes in the workspace	It writes inside the workspace: a Data Table, a stored file, a session.
changes something outside	It changes something outside Agentivity: it publishes a post, writes in a database, uploads a file.
sends a message	It sends a message to a person or a system. This cannot be taken back.
costs	It spends money or quota at a provider: a model call, an image, a search.
runs other things	It runs an agent, a team or a workflow, and so does whatever they do.

The pages

Page	Nodes
Core nodes: conditions, loops, data and code	16
AI nodes: agents, models, sessions and channels	23
AI nodes: the tools you give to an agent	16
AI nodes: knowledge, Vector Stores and embeddings	9
Content, web, SEO and document nodes	21
People, messages, storage and application nodes	13

Every node, by name

Node	Kind	Type	Page
Add Block	Step	`layout.add_block`	Content, web, SEO and document nodes
Agent	Step	`agentic_node`	AI nodes: agents, models, sessions and channels
AI Agent	Step	`ai.node`	AI nodes: agents, models, sessions and channels
AI Agent Calculator Tool	Resource	`ai.tools.utils.calculator`	AI nodes: the tools you give to an agent
AI Agent Data Table Tool	Resource	`ai.tools.data.datatable`	AI nodes: the tools you give to an agent
AI Agent Date & Time Tool	Resource	`ai.tools.utils.datetime`	AI nodes: the tools you give to an agent
AI Agent Email Tool	Resource	`ai.tools.communication.email`	AI nodes: the tools you give to an agent
AI Agent Guardrail	Resource	`ai.guardrails.keyword`	AI nodes: agents, models, sessions and channels
AI Agent HTTP Request Tool	Resource	`ai.tools.http.request`	AI nodes: the tools you give to an agent
AI Agent JavaScript Tool	Resource	`ai.tools.code_javascript`	AI nodes: the tools you give to an agent
AI Agent Policy	Resource	`ai.policies.layer`	AI nodes: agents, models, sessions and channels
AI Agent Read Document Tool	Resource	`ai.tools.documents.read`	AI nodes: the tools you give to an agent
AI Agent Session (File)	Resource	`ai.sessions.file`	AI nodes: agents, models, sessions and channels
AI Agent Session (In-Memory)	Resource	`ai.sessions.inmemory`	AI nodes: agents, models, sessions and channels
AI Agent Vector Store Tool	Resource	`ai.tools.vectorstore`	AI nodes: the tools you give to an agent
AI Agent Weather Tool	Resource	`ai.tools.utils.weather`	AI nodes: the tools you give to an agent
AI Agent Web Scraper Tool (Direct)	Resource	`ai.tools.web.scraper.direct`	AI nodes: the tools you give to an agent
AI Agent Web Scraper Tool (Firecrawl)	Resource	`ai.tools.web.scraper.firecrawl`	AI nodes: the tools you give to an agent
AI Agent Web Scraper Tool (Jina)	Resource	`ai.tools.web.scraper.jina`	AI nodes: the tools you give to an agent
AI Agent Web Search Tool (SearXNG)	Resource	`ai.tools.web.search.searxng`	AI nodes: the tools you give to an agent
AI Agent Web Search Tool (SerpApi)	Resource	`ai.tools.web.search.serpapi`	AI nodes: the tools you give to an agent
AI Agent Web Search Tool (Tavily)	Resource	`ai.tools.web.search.tavily`	AI nodes: the tools you give to an agent
AI Image Generator	Step	`ai.media.ai_image_gen`	AI nodes: agents, models, sessions and channels
AI Semantic Guardrail	Resource	`ai.guardrails.moderation`	AI nodes: agents, models, sessions and channels
Anthropic Model	Resource	`ai.llm.model.anthropic`	AI nodes: agents, models, sessions and channels
Audio Player	Display step	`core.display.audio`	Core nodes: conditions, loops, data and code
AWS Bedrock Model	Resource	`ai.llm.model.bedrock`	AI nodes: agents, models, sessions and channels
Chat Channel	Resource	`ai.interactions.chat`	AI nodes: agents, models, sessions and channels
Cohere Rerank	Step	`ai.rerank.cohere`	AI nodes: knowledge, Vector Stores and embeddings
Collect	Step	`core.collect`	Core nodes: conditions, loops, data and code
Console	Display step	`core.display.console`	Core nodes: conditions, loops, data and code
Content Generator	Step	`content.content_generator`	Content, web, SEO and document nodes
Data Table	Resource	`workspace.datatable`	Core nodes: conditions, loops, data and code
DataTable	Step	`core.datatable`	Core nodes: conditions, loops, data and code
DeepSeek Model	Resource	`ai.llm.model.deepseek`	AI nodes: agents, models, sessions and channels
Direct Scraper	Resource	`web.scraper.direct`	Content, web, SEO and document nodes
DSL to Elementor	Step	`content.layoutadapters.dsl_to_elementor`	Content, web, SEO and document nodes
DSL to Email HTML	Step	`content.layoutadapters.dsl_to_email_html`	Content, web, SEO and document nodes
DSL to HTML	Step	`content.layoutadapters.dsl_to_html`	Content, web, SEO and document nodes
DSL to Markdown	Step	`content.layoutadapters.dsl_to_markdown`	Content, web, SEO and document nodes
Email Channel	Resource	`ai.interactions.email`	AI nodes: agents, models, sessions and channels
Extract Document Text	Step	`document.extract_text`	Content, web, SEO and document nodes
File Exists	Step	`core.file.exists`	Core nodes: conditions, loops, data and code
File Is Fresh	Step	`core.file.is_fresh`	Core nodes: conditions, loops, data and code
File Storage	Resource	`storage.file`	People, messages, storage and application nodes
Firecrawl Scraper	Resource	`web.scraper.firecrawl`	Content, web, SEO and document nodes
First Of	Step	`core.firstof`	Core nodes: conditions, loops, data and code
For Each	Step	`core.foreach`	Core nodes: conditions, loops, data and code
Form Interaction	Step	`interaction.form`	People, messages, storage and application nodes
Forms Channel	Resource	`ai.interactions.forms`	AI nodes: agents, models, sessions and channels
Get Email	Step	`communication.email.get`	People, messages, storage and application nodes
Google Gemini Model	Resource	`ai.llm.model.gemini`	AI nodes: agents, models, sessions and channels
HTTP Request	Step	`http.request`	Content, web, SEO and document nodes
Human Interaction	Step	`interaction.human`	People, messages, storage and application nodes
If	Step	`core.if`	Core nodes: conditions, loops, data and code
Image Gen Model	Resource	`imagegen.model`	AI nodes: agents, models, sessions and channels
Image Viewer	Display step	`core.display.image`	Core nodes: conditions, loops, data and code
In-Memory Vector Store	Resource	`ai.vectorstore.inmemory`	AI nodes: knowledge, Vector Stores and embeddings
Internal Link Suggester	Step	`seo.links.suggest`	Content, web, SEO and document nodes
JavaScript	Step	`core.code.javascript`	Core nodes: conditions, loops, data and code
Jina Reader Scraper	Resource	`web.scraper.jina`	Content, web, SEO and document nodes
Knowledge Base	Resource	`ai.knowledge.base`	AI nodes: knowledge, Vector Stores and embeddings
LLM Prompt	Step	`ai.llm.prompt`	AI nodes: agents, models, sessions and channels
Local Embeddings	Resource	`ai.embeddings.local`	AI nodes: knowledge, Vector Stores and embeddings
MCP Server	Resource	`ai.tools.mcp.server`	AI nodes: the tools you give to an agent
Merge	Step	`core.merge`	Core nodes: conditions, loops, data and code
Move Block	Step	`layout.move_block`	Content, web, SEO and document nodes
OpenAI Embeddings	Resource	`ai.embeddings.openai`	AI nodes: knowledge, Vector Stores and embeddings
OpenAI Model	Resource	`ai.llm.model.openai`	AI nodes: agents, models, sessions and channels
pgvector Vector Store	Resource	`ai.vectorstore.pgvector`	AI nodes: knowledge, Vector Stores and embeddings
Pinecone Vector Store	Resource	`ai.vectorstore.pinecone`	AI nodes: knowledge, Vector Stores and embeddings
Publish Media to WordPress	Step	`app.cms.wordpress.publish_media`	People, messages, storage and application nodes
Publish to WordPress	Step	`wordpress.publish`	People, messages, storage and application nodes
Qdrant Vector Store	Resource	`ai.vectorstore.qdrant`	AI nodes: knowledge, Vector Stores and embeddings
Read Emails	Step	`communication.email.read`	People, messages, storage and application nodes
Remove Block	Step	`layout.remove_block`	Content, web, SEO and document nodes
Replace Block	Step	`layout.replace_block`	Content, web, SEO and document nodes
Scrape Web Page	Step	`web.scrape`	Content, web, SEO and document nodes
Send Email	Step	`communication.email.send`	People, messages, storage and application nodes
Set Variables	Step	`core.set`	Core nodes: conditions, loops, data and code
Sitemap Analyzer	Step	`seo.sitemap.analyze`	Content, web, SEO and document nodes
Sitemap Structure	Step	`seo.sitemap.structure`	Content, web, SEO and document nodes
Slack Channel	Resource	`ai.interactions.slack`	AI nodes: agents, models, sessions and channels
Speech to Text	Step	`ai.media.speech_to_text`	AI nodes: agents, models, sessions and channels
Storage Delete	Step	`storage.delete`	People, messages, storage and application nodes
Storage Read	Step	`storage.read`	People, messages, storage and application nodes
Storage Write	Step	`storage.write`	People, messages, storage and application nodes
Supabase Storage	Resource	`storage.database.supabase`	People, messages, storage and application nodes
Switch	Step	`core.switch`	Core nodes: conditions, loops, data and code
Team	Step	`team_node`	AI nodes: agents, models, sessions and channels
Text to Speech	Step	`ai.media.text_to_speech`	AI nodes: agents, models, sessions and channels
Update Emails	Step	`communication.email.update`	People, messages, storage and application nodes
Vector Store	Step	`ai.vectorstore.step`	AI nodes: knowledge, Vector Stores and embeddings
Web Search (SearXNG)	Step	`web.search.searxng`	Content, web, SEO and document nodes
Web Search (SerpApi)	Step	`web.search.serpapi`	Content, web, SEO and document nodes
Web Search (Tavily)	Step	`web.search.tavily`	Content, web, SEO and document nodes
Workflow	Step	`workflow_node`	Core nodes: conditions, loops, data and code
xAI / Grok Model	Resource	`ai.llm.model.xai`	AI nodes: agents, models, sessions and channels