by velocitybolt · Agent Tool · ★ 184
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open-extract Features • What is a Schema? • Use Cases • Getting Started • Documentation open-extract simplifies the ingestion and processing of unstructured data for those building AI Agents/Agentic Workflows using frameworks such as LangGraph, AG2, and CrewAI. 🚀 Features 📄 Extract Relevant Information Seamlessly: Give your applications the ability to identify and extract relevant data from one or many large documents and websites with just a single API call. Get the content back in JSON or Markdown formats, making it easy to integrate into your workflows. 🔍 Multi-Schema/Multi-Document Support: Extract data based one or many predefined schemas from a variety of document types, without needing a vector database or specifying page numbers. 🔄 Built-in Caching: With built-in caching, previously extracted schemas can be instantly retrieved, enabling rapid repeat extractions without having to reprocess the original documents. 🚫 No Vendor Lock-In: Enjoy complete flexibility with your choice of model provider. Whether using open-source or closed-source models, you're never tied to a specific vendor, ensuring full control.
| Stars | 184 |
| Forks | 21 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 38.75/100 |
| Last Updated | 2026-01-05 |
| Created | 2024-07-11 |
| Platforms | browser, python |
| Est. Tokens | ~607k |
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open-extract is Structured Data Extractor for AI Agents. Search your documents or the web for specific data and get it back in JSON or Markdown in a single tool call.. It is categorized as a Agent Tool with 184 GitHub stars.
open-extract is primarily written in Python. It covers topics such as agent-tools, ai, autogen.
You can find installation instructions and usage details in the open-extract GitHub repository at github.com/velocitybolt/open-extract. The project has 184 stars and 21 forks, indicating an active community.
open-extract is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to open-extract on Agent Skills Hub include oreilly-ai-agents, palico-ai, ai-agent-tools-catalog. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.