AgentToolDrop

n8n

Builds AI agents and automation workflows on a visual canvas that connects to 1500+ integrations

Standard A well-known tool, listed for reference and not ranked. About tiers

Run with Docker

docker volume create n8n_data
docker run -it --rm --name n8n -p 5678:5678 -v n8n_data:/home/node/.n8n docker.n8n.io/n8nio/n8n

Copied from the project's docs at github.com/n8n-io/n8n

Why you'd want it

n8n combines a node-based visual editor with custom JavaScript, Python and npm packages, and its README says workflows can use OpenAI, Anthropic, Google or open-source models. You can self-host it with Docker or npm, or use the paid n8n Cloud. Its docs cover building agents, LangChain components and MCP servers inside workflows.

Best for

  • Connecting agents to business apps
  • Self-hosted internal automations
  • Teams mixing visual building with code

Use it when

You want an agent to act across many SaaS tools through a workflow you can see, edit and self-host.

Skip it if

You need an OSI open source license or plan to offer n8n to others as a paid service; the Sustainable Use License limits use to internal business, non-commercial or personal purposes. If you build agents in code, a library will fit better.

Related tools

Same category or shared tags.

  1. Rank 4

    OpenBot

    Framework

    Runs self-hosted AI coworkers with their own browser, files and shell, each action policy-checked and logged

    • score 68
    • 6.5k stars
    • 110 stars/day since creation
    • pushed
    • v0.2.0 on
    • MIT

    Run the published Docker image

    docker run -p 3001:3001 --env-file .env \
  -e EMBEDDED_POSTGRES=on -v openbot-data:/var/lib/postgresql \
  ghcr.io/copilotkit/openbot:latest
    Use it when, skip it if, stats for OpenBot

    Why you'd want it

    OpenBot is a template for an in-house agent platform: Docker Compose brings up the app, PostgreSQL and the Bots, and you supply the model key. Each Bot gets its own container with a Chromium profile, a workspace volume and a shell, and every browser, file, shell, MCP or component action passes through one gateway that evaluates CEL policy rules, writes an audit row and only then acts. Any agent that speaks the AG-UI protocol, built with LangGraph, Mastra, CrewAI, Pydantic AI, Google ADK or by hand, can join as a coworker with its own channel, and you can watch its screen and take over. It ships with General Assistant and Knowledge coworkers plus example roles to copy.

    Best for

    • Self-hosted agent coworkers for a team
    • Auditable browser and shell actions
    • Bringing AG-UI agents into one workspace

    Use it when

    You want to give agents real computers inside your own infrastructure but need allow and deny rules and an audit trail for what they do.

    Skip it if

    You want a finished product: the README calls it an alpha template to clone and change, with no hosted version. It needs Docker, Bun, a model key and a CopilotKit Intelligence project (a free plan exists, or you can self-host it), and Bots drive a browser with saved logins and run shell commands, so set up sign-in before anyone else can reach it.

    Stats

    Stars
    6,491
    Last push
    Release
    v0.2.0,
    License
    MIT
    Pricing
    Open source
    Works with
    Docker, Web
    Stars per day, since repo creation
    110
    New and rising score
    68 of 100

    Full stat block for OpenBot

  2. Agno

    Framework Standard

    Builds Python agents, teams and workflows and serves them as an API with the AgentOS runtime

    • 42.7k stars
    • 26.3 stars/day since creation
    • pushed
    • v3.1.3 on
    • Apache-2.0

    Install with pip

    pip install -U agno openai
    Use it when, skip it if, stats for Agno

    Why you'd want it

    Agno is a Python SDK with three primitives (agents, teams and workflows) plus a runtime, AgentOS, that serves them through a production API with 50+ endpoints over SSE and websockets. Sessions, memory, knowledge and traces are stored in your own database, and the runtime adds human approval, OpenTelemetry tracing, JWT-based RBAC with multi-tenant isolation, cron scheduling, and interfaces for Slack, Telegram, WhatsApp, Discord, AG-UI and A2A. Starter templates deploy it with Docker to Railway, AWS, GCP, Azure, Fly, Render, Modal or Helm.

    Best for

    • Self-hosted agent platforms
    • Serving agents to many users
    • Agents exposed in Slack or messaging apps

    Use it when

    You want to build agents and also run them as a multi-user service on your own infrastructure, with data kept in your own database.

    Skip it if

    You are not on Python. Agno sends a telemetry event per agent run by default (prompts, messages and outputs are not sent); set AGNO_TELEMETRY=false to turn it off.

    Stats

    Stars
    42,736
    Last push
    Release
    v3.1.3,
    License
    Apache-2.0
    Pricing
    Open source
    Stars per day, since repo creation
    26.3
    Tier
    Standard, not ranked

    Full stat block for Agno

  3. LangChain

    Framework Standard

    Provides one interface and a large integration library for models, embeddings, vector stores and tools

    • 148k stars
    • 101 stars/day since creation
    • pushed
    • langchain-core==1.6.10 on
    • MIT

    Install with pip

    pip install -U langchain
    Use it when, skip it if, stats for LangChain

    Why you'd want it

    LangChain is a framework for building agents and LLM apps from interoperable components, with a large library of integrations for model providers, tools, vector stores and retrievers. Its standard model interface lets you swap models as you experiment without rebuilding the app. An equivalent JS/TS library, LangChain.js, is available, and it pairs with LangGraph for lower-level orchestration and LangSmith for evals and tracing.

    Best for

    • Apps that need many model or data integrations
    • Switching between model providers
    • Prototyping LLM apps in Python or JS

    Use it when

    You want ready-made integrations for models, vector stores and retrievers, and a single interface for switching providers.

    Skip it if

    You need fine-grained control over agent flow and state; the README points to LangGraph for advanced customization and agent orchestration.

    Stats

    Stars
    147,843
    Last push
    Release
    langchain-core==1.6.10,
    License
    MIT
    Pricing
    Open source
    Stars per day, since repo creation
    101
    Tier
    Standard, not ranked

    Full stat block for LangChain

For agents

The same entry, as files an agent can read without scraping this page.

  • /tools/n8n.md this tool as markdown with frontmatter
  • /llms.txt short orientation and every tool, ranked
  • /tools.json full catalog with tiers, signals, fetch dates, star velocity and scores
  • /llms-full.txt every tool in one markdown file
# read one entry
curl -s https://agenttooldrop.com/tools/n8n.md

# list the MCP servers in the catalog
curl -s https://agenttooldrop.com/tools.json \
  | jq -r '.tools[] | select(.category=="mcp-server") | .slug'