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Claw Router — one claw to rule them all

Claw Router — one claw to rule them all
Launch Date: June 15, 2026
Pricing: No Info
OpenClaw, AI routing, open-source, HackSing, TypeScript

Claw Router: One Claw to Rule Them All

Introduction

Claw Router is a smart tool designed for the OpenClaw ecosystem. It acts as an intelligent guide that decides which Large Language Model (LLM) should handle a user's message. Instead of using one expensive model for every single task, Claw Router matches the right model to the right job. This means simple questions get fast and cheap answers while complex problems get the best possible help.

Benefits

Claw Router offers several key advantages for users and developers.

First, it saves money. By directing trivial queries like "hello" to fast, low-cost models, it avoids wasting resources on expensive tools. Complex system design questions, however, are automatically sent to expert models that can handle them well.

Second, it is incredibly fast. The routing decision happens locally in under one millisecond. This means there are no extra API calls needed just to decide which model to use. The process is nearly instant.

Third, it is flexible. Users can declare what each model is good at, such as coding, writing, or math. The router then uses these traits to find the best fit. It also includes a safety net where an LLM can step in to make the final choice if two models seem equally good.

Use Cases

Claw Router is perfect for anyone using the OpenClaw platform who wants to optimize their workflow.

Developers can use it to ensure coding tasks go to models trained for code while chat requests go to conversational models. Researchers can set it up so that data analysis questions are handled by models with strong analytical skills. Writers can ensure their creative tasks are routed to models that excel in writing.

The tool works in different modes. It can run on simple rules for standard tasks or use an LLM to refine decisions when the situation is unclear. It also remembers the context of a conversation to make sure the right model is chosen for every new message without being stuck on an old choice.

Pricing

Claw Router is currently available as an open-source plugin. It is hosted on GitHub and can be installed directly from the source repository. Users do not pay a fee to use the router itself. The cost savings come from the router ensuring that expensive models are only used when absolutely necessary.

Vibes

As an open-source project, Claw Router has not yet gathered a large number of public reviews or testimonials. However, the developers have included extensive testing in the codebase. The project includes over 160 test cases and 24 real-world fixtures to ensure it works correctly. The community is encouraged to contribute, report issues, and help improve the tool through the GitHub repository.

Additional Information

Claw Router is developed by the HackSing team. The project is actively maintained with recent updates improving its structure and performance. Version 2.0.1 fixed circular dependencies and improved type safety. Version 2.0.0 introduced the core trait-based routing system and local semantic routing capabilities.

The tool is built with TypeScript and Node.js. It requires a local installation into the OpenClaw extensions directory. The project includes a clear roadmap for future features, such as a web interface to visualize routing decisions and a learning system that adapts based on user feedback.

NOTE:

This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.

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