[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-75195":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":10,"languages":10,"totalLinesOfCode":10,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":25,"readmeContent":26,"aiSummary":27,"trendingCount":15,"starSnapshotCount":15,"syncStatus":14,"lastSyncTime":28,"discoverSource":29},75195,"attractor","strongdm\u002Fattractor","strongdm","nlspec of StrongDM's Attractor, a non-interactive Coding Agent sufficient for use in a Software Factory","https:\u002F\u002Ffactory.strongdm.ai\u002Fproducts\u002Fattractor",null,1194,189,22,2,0,4,13,42,12,19.84,"Apache License 2.0",false,"main",[],"2026-06-12 02:03:33","# Attractor \n\nThis repository contains [NLSpecs](#terminology) to build your own version of Attractor to create your own software factory.\n\nAlthough 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.\n\n## Specs\n\n- [Attractor Specification](.\u002Fattractor-spec.md)\n- [Coding Agent Loop Specification](.\u002Fcoding-agent-loop-spec.md)\n- [Unified LLM Client Specification](.\u002Funified-llm-spec.md)\n\n## Building Attractor\n\nSupply the following prompt to a modern coding agent (Claude Code, Codex, OpenCode, Amp, Cursor, etc):\n\n```\ncodeagent> Implement Attractor as described by https:\u002F\u002Fgithub.com\u002Fstrongdm\u002Fattractor\n```\n\n## Terminology\n\n- **NLSpec** (Natural Language Spec): a human-readable spec intended to be  directly usable by coding agents to implement\u002Fvalidate behavior.\n","Attractor 是一个用于构建软件工厂的非交互式编码代理。其核心功能包括通过自然语言规范（NLSpec）来定义和实现编码代理的行为，支持自定义的代理循环和统一的大规模语言模型（LLM）SDK，从而为开发者提供了一个强大且灵活的基础架构。该项目适合于需要自动化代码生成、测试或部署等场景的企业或个人开发者使用，能够显著提高开发效率与质量。采用Apache License 2.0许可发布，鼓励社区贡献和创新。","2026-06-11 03:52:37","high_star"]