Lightweight document metadata index with CLI and skill support
Project description
Asta Resource Repository
A lightweight document metadata index for AI coding agents. Track documents, papers, and resources with tags and summaries—no databases, just a git-friendly YAML file.
What It Does
This tool helps you and your AI agents keep track of documents by storing metadata only (URLs, summaries, tags) in a simple .asta/documents/index.yaml file. Think of it as a smart bookmark manager that AI agents can use.
Key Features:
- 📋 Metadata only: URLs, summaries, tags—no content storage
- 🔧 CLI + Skill: Full document management via command line and Claude Code skill
- ⚡ Zero setup: No databases, no Docker, no external services
- 📝 Git-friendly: Human-readable YAML diffs
- 🔍 Searchable: Multiple search modes (simple, keyword, semantic, hybrid)
- 🏷️ Taggable: Organize with custom tags
- 🚀 Portable: Copy
.asta/folder anywhere - 💾 Smart caching: Automatic content caching with SHA256 verification
Installation
Prerequisites: Python 3.10+ and uv package manager
Install with uv:
uv tool install git+https://github.com/allenai/asta-resource-repo.git
This installs the asta-documents CLI globally.
Skill Installation
The asta-documents skill provides agent instructions for using the asta-documents CLI.
Claude Code:
curl -o ~/.claude/skills/asta-documents.md https://raw.githubusercontent.com/allenai/asta-resource-repo/main/skills/asta-documents/SKILL.md
skills.sh:
npx skills add add allenai/asta-resource-repo/skills
Command Line Usage
See the Asta-Documents Skill: skills/asta-documents/SKILL.md
Development
Want to contribute or modify the code? See:
License
Apache 2.0 License. See LICENSE for details.
Project details
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