SequentialThinking

A native OpenClaw plugin that provides the sequential_thinking tool for dynamic and reflective problem-solving — no MCP dependency required.

Concept

This plugin registers a first-class sequential_thinking tool directly into the OpenClaw runtime via api.registerTool. It ports the original MCP SequentialThinkingServer logic to run natively inside the plugin, maintaining full compatibility with the original behavior:

• Thought history tracking
• Branching support
• Revision support
• Dynamic totalThoughts adjustment

How It Works

1. Tool Registration: On plugin startup, registerSequentialThinkingPlugin creates a SequentialThinkingTool instance and registers it as an AgentTool via api.registerTool.
2. Agent Invocation: When the agent decides to use sequential_thinking, the tool's execute method receives the thought parameters, validates them, and delegates to the server.
3. State Management: The server maintains an in-memory thought history and branch registry for the lifetime of the plugin process.
4. Result Streaming: The tool returns a JSON result with thoughtNumber, totalThoughts, nextThoughtNeeded, branches, and thoughtHistoryLength.

Configuration

In openclaw.json:

{
  "plugins": {
    "entries": {
      "sequential-thinking": {
        "enabled": true,
        "config": {
          "thoughtLogging": true,
          "models": [
            "claude-sonnet-4",
            "anthropic/claude-opus-4",
            "openai/gpt-4o"
          ]
        }
      }
    }
  }
}

Tool Schema

sequential_thinking

Facilitates a detailed, step-by-step thinking process for problem-solving and analysis.

Inputs:

• thought (string): The current thinking step
• nextThoughtNeeded (boolean): Whether another thought step is needed
• thoughtNumber (integer): Current thought number
• totalThoughts (integer): Estimated total thoughts needed
• isRevision (boolean, optional): Whether this revises previous thinking
• revisesThought (integer, optional): Which thought is being reconsidered
• branchFromThought (integer, optional): Branching point thought number
• branchId (string, optional): Branch identifier
• needsMoreThoughts (boolean, optional): If more thoughts are needed

Plugin Config

• thoughtLogging (boolean, default: true): Log formatted thoughts to console
• models (string[], default: []): Model IDs that should receive a prompt injection encouraging preference for sequential_thinking on complex tasks. Supports exact modelId or provider/modelId patterns.

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