BIBLIOGRAPHY

Defrecord/legal-rag-hy. (2025). [Computer software]. defrecord. https://github.com/defrecord/legal-rag-hy (2025)

Jason Walsh. (n.d.). Defrecord repositories. Retrieved March 26, 2025, from https://github.com/orgs/defrecord/repositories

Jason Walsh. (2025). Defrecord/kbol - knowledge base from technical books [Computer software]. defrecord. https://github.com/defrecord/kbol (2024)

Jason Walsh. (2025). Defrecord/llm-lab [Computer software]. defrecord. https://github.com/defrecord/llm-lab (2025)

Jason Walsh, & Aidan Pace. (n.d.). Defrecord.com - enterprise security & ai agent orchestration. Retrieved March 26, 2025, from https://www.defrecord.com/

Jay Alammar. (n.d.). Defrecord/anthropic-quickstarts: Computer use. Retrieved March 27, 2025, from https://github.com/defrecord/anthropic-quickstarts

History

  • [2025-03-27 Thu 13:40] 클로저 하이랭 조직모드 이맥스 인공지능 이 세트를 가지고 뭔가를 한다. 멋지다. 파악하자.

defrecord.com - Enterprise Security AI Agent Orchestration

(Jason Walsh & Aidan Pace, n.d.)

  • Jason Walsh

스크린샷

  • >

defrecord.com - Enterprise Security AI Agent Orchestration

(Jason Walsh & Aidan Pace, n.d.)

  • Jason Walsh
  • 조직모드와 연계한 그림을 그리고 있는 이유가 무엇인가?

defrecord repositories

(Jason Walsh, n.d.)

링크

defrecord/kbol - Knowledge Base from Technical Books

(Jason Walsh, 2024/2025)

  • Jason Walsh
  • Knowledge Base from Technical Books
  • 2025

defrecord/llm-lab

(Jason Walsh, 2025/2025)

  • Jason Walsh
  • LLM Tools Lab: Testing environment for exploring LLM CLI tools (llm (0.21), ttok, strip-tags) with multiple providers (Ollama, Claude, Gemini, Bedrock, and OpenAI).
  • 2025

defrecord/legal-rag-hy

(Defrecord/Legal-Rag-Hy, 2025/2025)

  • A jurisdiction-aware Retrieval-Augmented Generation system for legal research built with Hy and org-mode literate programming

  • 2025

  • < relref “architecture” >

defrecord/anthropic-quickstarts: Computer Use

(Jay Alammar, n.d.)

  • Jay Alammar
  • A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API