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BlockRunAI/ClawRouter

The agent-native LLM router for autonomous agents. Every frontier model behind one wallet, <1ms local routing, USDC payments on Base & Solana via x402.

TypeScript ◇ ai MIT
★6.6KSTARS
⑂651FORKS
!0ISSUES
🏆#1,865GLOBAL RANK
🔥3DAYS TRENDING
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Momentum

+166

STARS · LAST 30 DAYS

6

PER DAY

#315

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+42+166+540
Per day666
Forks gained+3+13+33

ClawRouter gained 166 stars in the last 30 days, about 6 a day, and now has 6.6K. It is about 1 year old and has averaged roughly 6.6K stars a year. It ranks #315 among TypeScript repositories and #1,865 across all languages on GitHubRepo.

Trending Record

ClawRouter has maintained a continuous presence across global trending indexes, peaking at #5048. Below is the 30-day activity profile:

💡 Overview

ClawRouter is an open-source project written in TypeScript: The agent-native LLM router for autonomous agents. Every frontier model behind one wallet, <1ms local routing, USDC payments on Base & Solana via x402.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-agents, anthropic. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in TypeScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ npm install ClawRouter

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18, npm, pnpm or bun

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ClawRouter coordinates its core functionality through a modular TypeScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with ClawRouter.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install ClawRouter using your package manager: `npm install ClawRouter`

2

Initialize your project workspace or configuration file for ClawRouter.

3

Import ClawRouter into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `ClawRouter --help` to verify successful setup.

👍 Strengths

Active community backing with 6,627 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in TypeScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with TypeScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
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👥 Who Should Use This

Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

BlockRunAI/ClawRouter is currently ranked #1,865 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,860 OpenMW/openmw C++ ★ 6.6K Compare ↗
#1,861 microsoft/FASTER C# ★ 6.6K Compare ↗
#1,862 automerge/automerge JavaScript ★ 6.6K Compare ↗
#1,862 lexiforest/curl_cffi Python ★ 6.6K Compare ↗
#1,864 rust-lang/miri Rust ★ 6.6K Compare ↗
#1,865 BlockRunAI/ClawRouter This Project TypeScript ★ 6.6K
#1,866 django-oscar/django-oscar Python ★ 6.6K Compare ↗
#1,867 zizmorcore/zizmor Rust ★ 6.6K Compare ↗
#1,868 brython-dev/brython Python ★ 6.6K Compare ↗
#1,869 MISP/MISP PHP ★ 6.6K Compare ↗
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Frequently Asked Questions

What does ClawRouter do? +

The agent-native LLM router for autonomous agents. Every frontier model behind one wallet, <1ms local routing, USDC payments on Base & Solana via x402.

What language is ClawRouter written in? +

The primary language is TypeScript. Topics include: ai, ai-agents, anthropic, cost-optimization, deepseek.

Is ClawRouter actively maintained? +

Yes, the last recorded push was on Oct 16, 2026 with 0 open issues being tracked.

How many stars does ClawRouter have? +

ClawRouter has 6,627 stars and 651 forks on GitHub.

How does ClawRouter rank among GitHub repositories? +

With 6,627 stars, BlockRunAI/ClawRouter is ranked #1,865 globally across all repositories tracked on GitHubRepo and #315 among TypeScript projects.

What license is ClawRouter distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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