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attractor

nlspec of StrongDM's Attractor, a non-interactive Coding Agent sufficient for use in a Software Factory.

AI EngineeringPrompt & ScaffoldProtocols
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Created 2026-02-05 · Updated 2026-10-14 · #10664 today
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navanchauhanjaytaylorjmccarthy

strongdm/attractor is ranked 10,664 with 1,332 stars.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
CategoryAI Engineering
SubcategoryPrompt & Scaffold, Protocols
KeywordsAgent-ready APIs, Client integration, Prompt engineering, System prompts
Stars1,332
Forks194
Contributors4
Created date2026-02-05
Updated date2026-10-14
Stars in 1 day0
Stars in 7 days4
Rank10,664
Previous rank5,777
Rank change-4,887
7-day stars rank6,180
Previous 7-day stars rank5,600
7-day stars rank change-580
Total stars rank8,912
Previous total stars rank8,894
Total stars rank change-18
CountryUSA
README summary

Attractor This repository contains NLSpecs to build your own version of Attractor to create your own software factory. Although bringing your own agentic loop and unified LLM SDK is not required to build your own Attractor, we highly recommend controlling the stack so you have a strong foundation. Specs Attractor Specification Coding Agent Loop Specification Unified LLM Client Specification Building Attractor Supply the following prompt to a modern coding agent (Claude Code, Codex, OpenCode, Amp, Cursor, etc): Terminology **NLSpec** (Natural

Language Spec): a human-readable spec intended to be directly usable by coding agents to implement/validate behavior.

Frequently asked questions

How many stars and forks are recorded?

strongdm/attractor has 1,332 stars and 194 forks.

What is the repository rank?

strongdm/attractor is ranked 10,664.

Which repository is closest in rank?

strongdm/attractor is compared with coinbase/agentkit, ranked 10,668 with 1,330 stars.

README

Attractor

This repository contains NLSpecs to build your own version of Attractor to create your own software factory.

Although bringing your own agentic loop and unified LLM SDK is not required to build your own Attractor, we highly recommend controlling the stack so you have a strong foundation.

Specs

Building Attractor

Supply the following prompt to a modern coding agent (Claude Code, Codex, OpenCode, Amp, Cursor, etc):

codeagent> Implement Attractor as described by https://github.com/strongdm/attractor

Terminology

  • NLSpec (Natural Language Spec): a human-readable spec intended to be directly usable by coding agents to implement/validate behavior.
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