# Demerzels Lab Elsamultiskillagent Raglite > RAGLite — a local RAG cache (not a memory replacement) - Skill: `tomevault-io/demerzels-lab-elsamultiskillagent-raglite` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/demerzels-lab-elsamultiskillagent-raglite` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/demerzels-lab-elsamultiskillagent-raglite/raw - Safety review: pending (external: skill-scanner PASS, skillspector CAUTION) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/demerzels-lab-elsamultiskillagent-raglite --- # RAGLite — a local RAG cache (not a memory replacement) RAGLite is a **local-first RAG cache**. It does **not** replace model memory or chat context. It gives your agent a durable place to store and retrieve information the model wasn’t trained on — especially useful for **local/private knowledge** (school work, personal notes, medical records, internal runbooks). ## Why it’s better than paid RAG / knowledge bases (for many use cases) - **Local-first privacy:** keep sensitive data on your machine/network. - **Open-source building blocks:** **Chroma** 🧠 + **ripgrep** ⚡ — no managed vector DB required. - **Compression-before-embeddings:** distill first → less fluff/duplication → cheaper prompts + more reliable retrieval. - **Auditable artifacts:** distilled Markdown is human-readable and version-controllable. ## Default engine This skill defaults to **OpenClaw** 🦞 for condensation unless you pass `--engine` explicitly. ## Install ```bash ./scripts/install.sh ``` ## Usage ```bash ./scripts/raglite.sh run /path/to/docs \ --out ./raglite_out \ --collection my-docs \ --chroma-url http://127.0.0.1:8100 \ --skip-existing \ --skip-indexed \ --nodes ``` ## Pitch RAGLite is a **local RAG cache** for repeated lookups. When you (or your agent) keep re-searching for the same non-training data — local notes, school work, medical records, internal docs — RAGLite gives you a private, auditable library: 1) **Distill** to structured Markdown (compression-before-embeddings) 2) **Index** locally into Chroma 3) **Query** with hybrid retrieval (vector + keyword) It doesn’t replace memory/context — it’s the place to store what you need again. --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/demerzels-lab) — claim your Tome and manage your conversions.