Ferramentas de desenvolvimento
datasets
Hugging Face's library for loading and processing datasets for AI models in one line
★ 22,0 mil estrelasApache-2.0
Ver o guia →agents-course é um projeto de ferramentas de desenvolvimento de código aberto de huggingface (huggingface/agents-course no GitHub). Tem 33.310 estrelas no GitHub e 2.382 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 6 de outubro de 2026.
Hugging Face's free course on AI agents — smolagents, LangGraph and LlamaIndex, with a final benchmark
Decide what you want to achieve with agents-course and check the README on GitHub for requirements before installing.
Clone the repository from GitHub (or take the packaged install route in step 3 if the README offers one).
Follow the project's documented install commands — the Run section below lists the exact ones — and add any required API keys or models.
Work through the README's quickstart example end to end, then adapt it to your own project or data.
Units run from a welcome and agent fundamentals to frameworks and a final benchmarked assignment.
Dedicated units on smolagents, LangGraph and LlamaIndex show three different ways to build agents.
A bonus unit covers fine-tuning an LLM for function calling.
The course is free to join via the sign-up link in the README, with a final assignment to validate skills.
Units include practical exercises building real agents, not just reading material.
The repo documents how to contribute fixes and even new units to the course.
Clone the course source to read units locally or explore the MDX files.
git clone https://github.com/huggingface/agents-course.git
cd agents-courseThe actual course — with interactive exercises — lives on Hugging Face Learn; sign up free from the README link.
# open https://hf.co/learn/agents-course and sign up (free)Start with the introduction to agents, then run the smolagents examples in the framework units.
# follow Unit 1 at https://huggingface.co/learn/agents-course — see README for the unit tableagents-course is maintained by the huggingface organization/account on GitHub, together with open-source contributors, in the public repository huggingface/agents-course.
Yes — the code is open source under the Apache-2.0 license. You can use, modify and redistribute it under that license's terms.
The course is free; some exercises call hosted models through Hugging Face, where a free account is enough for the course-scale usage described.
This is a free, framework-hands-on course from the team behind smolagents and the Hub — lighter on theory than a textbook, stronger on runnable practice.
Clone the repository from GitHub, follow the install commands in the Run section (taken from the project's README), and complete the documented quickstart example before adapting it to your own use case.
Hugging Face's library for loading and processing datasets for AI models in one line
A context graph for the AI-native SDLC — so agents and humans share one map of the codebase.
Enterprise-grade codebase intelligence for AI agents — hybrid semantic search over 40M+ LOC, locally.
The frontend stack for AI agents and generative UI in React, Angular, mobile and chat apps
Reverse engineer anything with agents - from app behavior down to native binaries
GenBI for AI agents - governed text-to-SQL and dashboards through an open context layer
Os outros projetos de Ferramentas de desenvolvimento com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se agents-course não for o ideal para você.
The open source coding agent
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
Anthropic's agentic coding tool that lives in your terminal and works across your whole codebase
Cross-platform desktop all-in-one manager for Claude Code, Codex, OpenCode and other coding agents
OpenAI's lightweight coding agent that runs locally in your terminal
Projetos de Ferramentas de desenvolvimento próximos no catálogo, os mais próximos em estrelas de agents-course: continue explorando dos dois lados dele.
Self-hosted AI coding assistant
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked con…
A coding agent with the IDE wired in — LSP, debugger, subagents and code review in your terminal
Scrape any website with a prompt: LLM-powered scraping pipelines in a few lines of Python
A terminal coding agent built for DeepSeek models — reliable, cache-aware and cheap to run
An MCP toolkit that gives coding agents IDE-grade semantic retrieval, editing and refactoring
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.