The most used nodes

Post messages to channels or people in a team chat workspace, and react when activity happens there.

Sends plain text, images or other attachments, and pre-approved message templates to phone numbers from a connected business messaging account.

Steer how a run proceeds, such as repeating steps over a list, branching, or stopping the run early.

Watch a feed address for newly published items and read their titles, links, and content.

Turn a JSON text string into structured data, or turn structured data back into text.

Work with PDF documents, such as pulling out text or combining, splitting, and creating pages.

Do basic arithmetic on two numbers (add, subtract, multiply, divide) or produce a random number for later steps.

Create a task for a team member and wait for them to review, approve, or do the manual work needed.

Connect to a business phone and communications service to act on its calls, users, and messages.

Create, update, and search pages and database entries in a shared docs-and-tables workspace, so a flow can log records there or read them back.

Send WhatsApp messages, read and update contacts, and drive chat replies through a WAHA server.

Send prompts to a hosted large language model and use the returned text or answers in later steps.

Reach many different AI models through a single service to produce text, code, or images.

Connect to a visual bookmarking account to post, update, or fetch pins and boards as part of an automated run.

Run web searches designed for automated agents and pass the returned results and page text into later steps.

Read and change products, orders, and customers in a WordPress-based online store from an automated run.

Check an email address to see if it is valid, deliverable, disposable, or risky before a later step sends to it.

Convert XML text into structured data, or build XML from data, so other steps can read or produce that format.

Create or analyse video clips with an AI model and pass the resulting file or description onward.

Create and update posts, pages, and media on a website built with open-source site software.

Generate text and reason over long inputs using Claude models.

Search the web and pull the raw text out of result pages, so a model can read fresh sources.

Read, filter, and edit JSON with path expressions so a flow can pull out or reshape specific fields.

Call models deployed in your own Microsoft cloud subscription for chat, embeddings, and related tasks.

Connect to a self-hosted inference server to run open models for generation, embeddings, and reranking.

Route requests to many commercial and open-source models through one gateway and a single key.

Generate text, create embeddings, and turn text into spoken audio with one hosted model family.

Fetch web pages as clean text, search the web, and prepare content for models to read.

Convert documents such as PDFs into machine-readable markdown or JSON so later steps can extract their content.

Use GLM-family hosted models for chat, text generation, and embeddings.

Run a web search query and get back result snippets along with the matching page content.

Crawl a whole site or scrape single pages and return the page content as structured text.

Pull matching pieces of text out of a string using a pattern.

Add embedding and reranking models for building search and retrieval steps.

Read and act on repositories, issues, and other data held in a hosted source code service.

Post messages into a workplace chat group through its bot.

Turn markdown into DOCX, PPTX, XLSX, PDF, PNG, SVG, HTML, notebook, CSV, JSON, XML or wiki files, and save code blocks as source files.

Send messages to a team group chat through its robot webhook.

Search the web through a privacy-focused engine and return the results to the flow.

Run text embedding models on a fast self-hosted endpoint for search and retrieval steps.

Upload, download, copy, move, share and search files and folders in a Google cloud drive.

Send a prompt, with the incoming data filled in, to a connected language model and return its reply in one straight pass with no tools.

Supply a Google Gemini chat model, with its key and settings, as the brain that an agent, chain or extractor step uses.

Keep the last few turns of a conversation in memory and feed them back to the model so it remembers recent context per chat session.

Send a plain text or HTML message with attachments through any SMTP mail server, without being tied to one mail provider.

Supply a chat model served through OpenRouter, giving steps access to many vendors' models behind one key.

Create, read, update, delete and search records in a hosted database table, so a base can act as input or storage.

Supply an Anthropic Claude chat model, with its key and settings, as the brain that an agent, chain or extractor step uses.

Use Google Gemini directly for single jobs such as text replies, image and video handling, audio transcription and file uploads.

Turn incoming files or text into document chunks that embedding and vector store steps can index or search.

Create and update pages, blocks and database entries in a workspace wiki, and search or read existing content.

Turn text into OpenAI numeric vectors that a vector store or retriever step uses for similarity search.

Pull values out of HTML with CSS selectors, or build and tidy HTML markup from the data flowing through.

Run SQL queries against a Postgres database, and insert, update, upsert, select or delete rows in its tables.

Pull named fields out of messy text with a language model and hand them on as clean structured values.

Create, update, delete and list calendar events, and check when someone is free or busy.

Send text, template and media messages to customers over the business messaging cloud API and handle incoming ones.

Expose another saved automation as a tool an agent can call with arguments, getting its result back as part of the reasoning.

Supply a chat model hosted on Groq, giving steps a fast low-latency brain for agents, chains and extractors.

Create documents and read or insert and replace their text, so written content can be generated and updated automatically.