Self-hosted framework for orchestrating fleets of specialist AI agents — ensemble reasoning and a full agentic coding pipeline, model-agnostic and local-friendly.
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,823
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
captain-claw gained 10 stars in the last 30 days, about 1 a day, and now has 168. It is about 1 year old and has averaged roughly 168 stars a year. It ranks #1,823 among Python repositories and #14,324 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#13324
BEST RANK
Oct 16, 2026
FIRST APPEARANCE
Active
STATUS TODAY
captain-claw has maintained a continuous presence across global trending indexes, peaking at #13324. Below is the 30-day activity profile:
💡 Overview
captain-claw is an open-source project written in Python: Self-hosted framework for orchestrating fleets of specialist AI agents — ensemble reasoning and a full agentic coding pipeline, model-agnostic and local-friendly.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-orchestration, agentic-coding, agentic-workflow. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install captain-claw⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
captain-claw coordinates its core functionality through a modular Python 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 captain-claw.
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
Install captain-claw using your package manager: `pip install captain-claw`
Initialize your project workspace or configuration file for captain-claw.
Import captain-claw into your codebase or invoke it directly from your terminal.
Execute your test suite or run `captain-claw --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
kstevica/captain-claw is currently ranked #14,324 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #14,291 | PhamHungTien/PHTV | Swift | ★ 169 | Compare ↗ |
| #14,291 | alibaba/neug | C++ | ★ 169 | Compare ↗ |
| #14,291 | ch998244353/TuckPane | C# | ★ 169 | Compare ↗ |
| #14,291 | socai-io/jev-social | JavaScript | ★ 169 | Compare ↗ |
| #14,291 | NuvexNetwork/nuvex | Rust | ★ 169 | Compare ↗ |
| #14,324 | kstevica/captain-claw This Project | Python | ★ 168 | |
| #14,324 | defunkt/ambition | Ruby | ★ 168 | Compare ↗ |
| #14,324 | clintecker/django-google-analytics | Python | ★ 168 | Compare ↗ |
| #14,324 | opencongress/opencongress | Ruby | ★ 168 | Compare ↗ |
| #14,324 | markaby/markaby | Ruby | ★ 168 | Compare ↗ |
| #14,324 | braintree/braintree_java | Java | ★ 168 | Compare ↗ |
Frequently Asked Questions
What does captain-claw do? +
Self-hosted framework for orchestrating fleets of specialist AI agents — ensemble reasoning and a full agentic coding pipeline, model-agnostic and local-friendly.
What language is captain-claw written in? +
The primary language is Python. Topics include: agent-orchestration, agentic-coding, agentic-workflow, ai-agent, ai-agents.
Is captain-claw actively maintained? +
Yes, the last recorded push was on Oct 16, 2026 with 0 open issues being tracked.
How many stars does captain-claw have? +
captain-claw has 168 stars and 20 forks on GitHub.
How does captain-claw rank among GitHub repositories? +
With 168 stars, kstevica/captain-claw is ranked #14,324 globally across all repositories tracked on GitHubRepo and #1,823 among Python projects.
What license is captain-claw distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
