n8n-nodes-miniagent

Lightweight AI Agent node for n8n - zero dependencies, built-in memory, multi-LLM support.

Features

• Zero Dependencies: No LangChain or external SDKs - just pure TypeScript with native fetch
• Multi-LLM Support: Works with Gemini, Claude (Anthropic), and any OpenAI-compatible API
• Built-in Memory: Conversation history that persists across executions
• Tool Calls Saved: Unlike n8n's AI Agent, this saves tool calls in memory (fixes issue #14361)
• ReAct Pattern: Implements Reasoning + Acting for intelligent task completion
• Fully Serverless: No external servers or databases required
• n8n Cloud Ready: Designed to pass n8n Cloud approval

Installation

In n8n Cloud

Search for "Mini Agent" in the community nodes section.

Self-hosted

npm install n8n-nodes-miniagent

Or install via n8n Settings > Community Nodes.

Supported LLM Providers

Operations

Chat

Send a message and get a response. No memory - each call is independent.

Chat with Memory

Chat with conversation history preserved. Great for multi-turn conversations.

Clear Memory

Clear the conversation history for a specific session.

Get Memory

Retrieve the current conversation history for debugging.

Tools

Tools allow the agent to perform actions. Define them as a JSON array:

Code Tool Example

[
  {
    "name": "calculate",
    "description": "Evaluate a mathematical expression",
    "parameters": {
      "type": "object",
      "properties": {
        "expression": {
          "type": "string",
          "description": "The math expression to evaluate"
        }
      },
      "required": ["expression"]
    },
    "code": "return eval(expression)"
  }
]

HTTP Tool Example

[
  {
    "name": "get_weather",
    "description": "Get current weather for a city",
    "parameters": {
      "type": "object",
      "properties": {
        "city": {
          "type": "string",
          "description": "City name"
        }
      },
      "required": ["city"]
    },
    "http": {
      "url": "https://api.weather.example/current",
      "method": "GET",
      "queryParams": {
        "q": "{{city}}"
      }
    }
  }
]

Memory Types

Buffer (Volatile)

• Stored in memory
• Fast access
• Lost when n8n restarts
• Good for: Testing, short-lived sessions

Workflow Static Data (Persistent)

• Stored in n8n's workflow data
• Survives n8n restarts
• Good for: Production use, important conversations

Options

Why Mini Agent?

Problems with n8n's AI Agent (LangChain-based):

1. Tool calls not saved in memory - Agent stops using tools after a few turns
2. Heavy dependencies - LangChain adds complexity and version conflicts
3. Memory requires external nodes - No built-in persistent storage
4. Difficult to customize - Tied to LangChain's abstractions

Mini Agent solves these:

1. All messages saved - Including tool calls and results
2. Zero dependencies - Just TypeScript and fetch
3. Built-in memory - Buffer and persistent storage included
4. Simple architecture - Easy to understand and extend

Example Workflow

[Webhook] → [Mini Agent: Chat with Memory] → [Respond to Webhook]

The agent will:

1. Load conversation history for the session
2. Process the user's message
3. Use tools if needed (with proper memory of tool usage)
4. Save the updated conversation
5. Return the response

License

MIT

Author

Mauricio Perera (mauricio.perera@gmail.com)

Links

• GitHub Repository
• Report Issues
• n8n Community Nodes