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Highly Recommended

Devrag

Say goodbye to inefficient document reading, let AI hit the bulls...
Essential document retrieval tool for developers
Core Principle:
DevRag is a lightweight RAG system tailored for Claude Code developers. It intelligently retrieves document snippets, saving you from wasting tokens reading entire files. 40x token savings, 15x faster searches - helping AI pinpoint exactly the code you need.
KEY FEATURES
01Lightning Search
Semantic search completes in 100ms, 15x faster than traditional methods
02Token Saver
Returns precise 200-token snippets, saving 40x over full document reading
03One-Click Setup
Single executable file, no complex environment setup
04Smart Indexing
Automatically incrementally updates document database
github.com/tomohiro-owada/devrag
data-ai·tomohiro-owada·2026-02-06·⭐ 25·🔱 6
Curated by agent-skills.cc
Installation
Download
HTTPS
git clone https://github.com/tomohiro-owada/devrag.git
SSH
git clone [email protected]:tomohiro-owada/devrag.git
GitHub CLI
gh repo clone tomohiro-owada/devrag
FAQ
Q: What are the installation steps for Devrag Agent Skills?
1.Download: Get the binary for your platform
2.Configure Claude: Simple config file modification
3.Add Documents: Place Markdown files in designated directory
4.Smart Search: Claude Code automatically uses RAG
Q: What are the highlights of Devrag Agent Skills?
  • 40x token savings
  • 15x search speedup
  • Supports 100+ languages
  • Auto GPU acceleration
Q: What are the use cases for Devrag Agent Skills?
  • Quick API doc lookup
  • Retrieving best practice code
  • Finding specific error solutions
  • Cross-project knowledge reuse
Q: What are the limitations of Devrag Agent Skills?
  • Only supports Markdown files
  • Initial indexing takes time
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