Agentes de IA
firecrawl
Turn any website into clean, agent-ready data with one API.
★ 189,6k estrellasAGPL-3.0
Ver la guía →unstructured es un proyecto de agentes de IA de código abierto de Unstructured-IO (Unstructured-IO/unstructured en GitHub). Tiene 15.546 estrellas en GitHub y 1.350 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 8 de octubre de 2026.
Turn messy documents into clean, structured data for language models.
Write down the outcome you want in one sentence.
Clone it locally and check the README.
Get dependencies and tooling in place per the docs.
Follow the minimal example, then adapt it to your needs.
PDFs, Word, emails, images, HTML, and more.
Splits documents into meaningful elements.
Prepares text for embeddings and retrieval.
Adds metadata that improves downstream use.
Structured formats models can consume.
A hosted platform for production scale.
Download the source and move into the project folder.
git clone https://github.com/Unstructured-IO/unstructured.git
cd unstructuredIsolate dependencies, then install requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtLaunch using the entry point shown in the README.
python -m unstructured # check README for the exact commandIt is an open-source project at Unstructured-IO/unstructured with 1350 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — Apache 2.0 allows commercial use and modification. Keep the license and notice files, and note it includes a patent grant.
PDFs, Word, emails, HTML, images, and more — partitioning complex documents is its core job.
Both: the Apache-2.0 library is the starting point; Unstructured also sells a hosted platform for production.
Clone the repo and follow the README quickstart — the docs at https://www.unstructured.io/ walk through setup.
Turn any website into clean, agent-ready data with one API.
Shrimp Task Manager: an MCP server that turns natural language into structured, dependent dev tasks.
Convert PDFs, DOCX, and HTML into clean, AI-ready documents.
Over a thousand tool integrations so agents can turn intent into action.
Physical Intelligence's open vision-language-action models (pi0, pi0-FAST, pi0.5) for robot policies.
Turn papers, text, or topics into editable research figures and slides.
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Bridge AI assistants to the Unity Editor via MCP: manage assets, scenes, scripts and tasks.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.