Agentes de IA
unstructured
Turn messy documents into clean, structured data for language models.
★ 15,5k estrellasApache-2.0
Ver la guía →docling es un proyecto de agentes de IA de código abierto de docling-project (docling-project/docling en GitHub). Tiene 68.521 estrellas en GitHub y 5.023 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 8 de octubre de 2026.
Convert PDFs, DOCX, and HTML into clean, AI-ready documents.
Choose one real workload to test the project against.
Clone it locally and read through the getting-started guide.
Install the stack it needs and set any environment variables.
Execute the starter example and check results before going further.
Handles PDF, DOCX, HTML, and more.
Produces clean structured Markdown for downstream AI use.
Built to feed retrieval and agent workflows.
Integrates directly into Python data pipelines.
Permissive licensing.
Pushed in October 2026.
Install docling from PyPI into your Python environment.
pip install doclingConvert a document to structured output.
# see README for the exact CLI/API usage
docling myfile.pdfTake the Markdown output into your RAG or agent ingestion flow.
# integrate the parsed output with your embeddings stepIt is maintained by the docling-project team at docling-project/docling, with 5,023 forks. Check recent releases for format-support updates.
Yes. It is released under the MIT license, which permits commercial use, modification, and redistribution. Read the LICENSE file for the exact terms.
No — it is a local parsing library. You only pay for whatever LLM you pair it with downstream.
Compare on table and layout fidelity plus format coverage for your specific document types.
Run pip install docling and follow the README examples to convert your first file.
Turn messy documents into clean, structured data for language models.
Turn any website into clean, agent-ready data with one API.
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.
Production-ready agentic RAG behind a clean REST API.
NVIDIA Isaac GR00T N1.7 — an open foundation model for generalist robots, ready to fine-tune and deploy.
AI-native search that indexes code, docs, and PDFs with 40x fewer tokens than grep.
Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si docling no es lo que buscas.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a docling: sigue explorando a ambos lados.
A coding agent tuned for open models like Kimi, GLM, DeepSeek, and Qwen.
Drop-in persistent memory infrastructure for AI agents and apps.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
Open-source AI job search agent and job finder: scan job boards, score each job 1-5 against your CV before you apply, tailor an ATS-friendly resume and cover…
A programming framework for agentic AI
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.