n8n

Open-source workflow automation for connecting AI agents, APIs, and business systems.

4.8 (6)

შეფასებული Daniel Nikulshyn·განახლდა მაისი, 2026

LangChain No-Code Open Source AI Agents Workflow Automation Self-Hosted API Integrations

მიმოხილვა

n8n is a source-available workflow automation platform that lets teams build complex integrations between apps, databases, and AI services using a visual node-based editor. It supports both no-code drag-and-drop building and custom JavaScript or Python code, making it flexible for technical and non-technical users alike. With native nodes for LLM providers, vector stores, and agent frameworks, n8n is increasingly used to orchestrate AI workflows such as RAG pipelines, chatbots, and autonomous agents. It can be self-hosted for full data control or used via n8n Cloud, and connects to hundreds of third-party services out of the box.

ძირითადი ფუნქციები

Visual node-based workflow editor
Native AI and LangChain integration nodes
Self-hosted or cloud deployment options
Custom JavaScript and Python code nodes
Webhooks, scheduling, and event triggers
Hundreds of app and API integrations

გამოყენების შემთხვევები

Build RAG pipelines with LLMs and vector stores

Use native AI nodes to ingest documents, generate embeddings, store them in a vector database, and orchestrate retrieval-augmented generation workflows for chatbots or internal knowledge tools.

Orchestrate autonomous AI agents

Connect LangChain nodes, APIs, and business systems to design multi-step AI agents that can trigger actions, call tools, and process results across hundreds of integrated services.

Automate cross-app business processes

Visually connect CRMs, databases, and SaaS tools with webhooks and scheduled triggers to automate routine operations without writing full custom integrations.

Self-hosted automation for data-sensitive teams

Deploy n8n on your own infrastructure to keep workflow data in-house, combining drag-and-drop building with custom JavaScript or Python for full control over logic and compliance.

დადებითი და უარყოფითი

დადებითი

Self-hostable with transparent source code
Strong support for AI agents and LLM workflows
Combines visual building with custom code
Large library of pre-built integrations

უარყოფითი

Steeper learning curve than simpler no-code tools
Self-hosting requires technical setup
Some advanced features gated behind paid plans

შეფასებები

4.8

საშუალო 6 შეფასებიდან.

შედი ანგარიშზე შეფასების დასატოვებლად.

Hannah Goldberg

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on visual node-based workflow editor, and large library of pre-built integrations caught me off guard. still, I'd recommend giving it a real trial.

Wei Chen

Years in this space

I've evaluated a lot of these over the years. What stands out here is hundreds of app and API integrations — handled better than most — and combines visual building with custom code. Worth the time if this is your use case.

Tariq Aziz

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on hundreds of app and API integrations, and strong support for AI agents and LLM workflows caught me off guard. Some advanced features gated behind paid plans is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Tomáš Novák

Use it every day

Honestly didn't expect to like it this much. Hundreds of app and API integrations is exactly what I needed, and large library of pre-built integrations. I do wish self-hosting requires technical setup, but I reach for it almost every day now and it just clicks.

Sofia Lindqvist

Use it every day

Honestly didn't expect to like it this much. Custom JavaScript and Python code nodes is exactly what I needed, and strong support for AI agents and LLM workflows. but I reach for it almost every day now and it just clicks.

Frank Müller

Years in this space

I've evaluated a lot of these over the years. What stands out here is custom JavaScript and Python code nodes — handled better than most — and large library of pre-built integrations. Steeper learning curve than simpler no-code tools is my one real gripe. Worth the time if this is your use case.