by velocitybolt · Agent Tool · ★ 184
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| 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 corpusos, oreilly-ai-agents, palico-ai. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.