AI BriefingLore – Deliver Your Team's Decisions to Coding Agents
Key point
Lore launches to provide coding agents with accurate team decisions using a deterministic approach instead of RAG
Details
Lore is a system that helps coding agents (Claude Code, Cursor, Claude Desktop, etc.) accurately reference recorded knowledge such as a team's requirements, designs, and roadmap.
Unlike traditional RAG (Retrieval-Augmented Generation) approaches that perform ambiguous similarity-based search, Lore is built on a RAC (Requirements as Code) engine that provides accurate information in a deterministic and reproducible way. This helps prevent mistakes such as an agent re-proposing a design that has already been rejected.
Key Features:
- Deterministic Retrieval: Returns accurate, current decisions without embeddings or model calls.
- MCP Support: Instantly connects with Claude Code and Claude Desktop via the Model Context Protocol.
- CI Integration: The
rac validateandrac gatecommands allow you to enforce, at the CI stage, that incorrect knowledge information is not reflected in the codebase. - Multiple Format Support: Markdown by default, with import functionality for DOCX, HTML, PDF, PPTX, XLSX, etc., depending on installation options.
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