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Create an agent from the Agents page, then tune its behavior in the editor.

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Overview

The Agents page shows your active agents and lets you start a new one with Add Agent. After you save, Fetch Hive opens the editor automatically. From there, you can adjust Agent Settings, add tools, test with Chat, and watch save state changes like Editing…, Saving…, and Saved.

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How do I create a new agent?

  1. Open Agents from the sidebar.
  2. Click Add Agent.
  1. Enter a Name for the agent.
  2. Choose a Category if your workspace uses categories.
  3. Click Save.
Fetch Hive opens the agent editor as soon as the agent is created.

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How do I configure an agent in the editor?

  1. In the editor, select the root agent node to open Agent Settings.
  1. Update the fields you need, including Name, Description, Model, Max Tokens, Temperature, Tool Choice, Max Tool Calls, Instruction Prompt, and Charge Type.
  2. Watch the save indicator in the header while your changes are written. Fetch Hive shows Editing… while you have unsaved changes, Saving… while it writes them, and Saved when the update completes.
Agents can use supported OpenAI, Anthropic, Google Gemini, and xAI models. Some settings change based on the selected model. For example, some models show Reasoning Effort or Max Thinking Tokens instead of Temperature. Gemini 2.5 thinking models and older Claude thinking models show Max Thinking Tokens. Gemini 3 Flash models show Thinking Level (minimal, low, medium, high). Newer adaptive Claude models, including Claude Sonnet 4.6+, Claude Opus 4.6+, Claude Opus 5, and Claude Fable 5, show Reasoning Effort. Claude agents also show Prompt Cache, with Disabled, 5 minutes, and 1 hour options for Anthropic prompt caching across repeated agent calls. Max Tool Calls appears for OpenAI and xAI agents only (0 is unlimited): OpenAI sends it as provider max_tool_calls, and xAI sends it as max_turns. Anthropic, Gemini, and Perplexity agents hide the control. If a saved agent uses a retired model, Fetch Hive shows a warning in Agent Settings and blocks chat/API runs with model_deprecated. Select an active model before testing or invoking the agent.

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How do I add an MCP tool?

  1. Click the add-tool button in the editor header.
  2. In the picker, use search if you need to filter the list.
  3. Choose a tool from MCP Tools.
Fetch Hive currently shows these active MCP tools in the picker:
  • Auto Summarize
  • SERP API
  • Google Search
  • Google Grounding
  • Vector Search
  • GPT Search
  • xAI Web Search
  • X Search
  • Image Generation
  • Airtable
  • Linear
  • Google Calendar
Tools marked Soon are not available yet. If you add a tool, select its node to open the settings sheet for that tool. Some tools expose extra configuration, such as Dataset for Vector Search, Context Size and Location Country for GPT Search, Allowed/Excluded Handles, Date Range, and media understanding toggles for X Search, or an Authentication account for Airtable and Linear. xAI Web Search and X Search require an xAI Grok model. Google Grounding requires a Gemini model.

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How do I add a workflow tool?

Choose a deployed workflow from Workflow Tools in the tool picker. Fetch Hive lets the agent call the selected workflow endpoint variant as a tool. The workflow run keeps its own workflow request ID and logs, and the parent agent trace records the call under agent.tool.workflow. See Workflow Tools for setup details and logging behavior.

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How do I remove a tool or archive an agent?

To remove an MCP tool, hover over its node in the editor and click the remove action. Fetch Hive asks you to confirm with Remove tool? and Remove tool. To archive an agent, open the menu next to the agent name in the editor and choose Archive. Fetch Hive asks you to confirm with Archive agent? and Archive agent. Archiving removes the agent from the active Agents list. For workflow tools, see Workflow Tools. For sub agents, see Sub Agents. For testing, see Testing with Chat.