Better AI Agent Tool

Advanced AI Agent with improved memory management and modern AI SDK - usable as Tool

Better AI Agent Tool

AI-generated

Summary

Execute an advanced AI agent that uses a connected language model, memory, and tools to process a query with multi-step reasoning and tool calls, returning the agent's final textual response.

Inputs

  • Description — User-provided description of the tool's behavior, shown when the agent is called by other AI agents.
  • Options — Configuration options including system message to define agent behavior, maximum number of tool call steps (default 5), and verbose logging toggle.
  • Query (required) — The input string query or task the AI agent should process.
  • Connected Language Model (required) — An AI language model node connection to perform natural language understanding and generation.
  • Connected Memory — Optional memory node connection to store and load conversation history for context.
  • Connected Tools — Optional connected AI tools nodes that the agent can invoke as external functions during execution.

Output shape

A single string containing the final response text generated by the AI agent.

The agent internally manages conversation history and tool calls. If memory is connected, prior conversation messages are loaded and the new exchanges saved back. The maximum number of reasoning/tool-call steps is configurable. Verbose logging can be enabled for debugging. If no language model is connected, execution fails with an error.

Examples

Example 1: Call the Better AI Agent Tool with a user query and connected OpenAI-compatible language model and tools, to get a multi-step agent response.

Description: 'Search and summarize data using tools', Options: systemMessage default, maxSteps 5, verboseLogs false, Input query: 'Find recent sales trends and generate report'.

Links

Discussion