Ferramentas de desenvolvimento
oh-my-openagent
OmO: a batteries-included orchestration layer that turns OpenCode into a multi-agent master
★ 69,9 mil estrelasNOASSERTION
Ver o guia →AnyCrawl é um projeto de ferramentas de desenvolvimento de código aberto de any4ai (any4ai/AnyCrawl no GitHub). Tem 3.478 estrelas no GitHub e 368 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 29 de setembro de 2026.
A Node.js crawler that turns websites into LLM-ready data and extracts structured SERP results.
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
Single-page extraction that returns clean content suitable for RAG and agents.
Traverse and collect entire sites with configurable crawl parameters.
Structured search results from Google, Bing, Baidu and more, batch-friendly.
LLM-powered structured (JSON) extraction from pages, with providers such as Atlas Cloud configurable.
Native multi-threading/multi-process batch tasks with job polling for results.
Generate and manage API keys for your own deployment, in or out of Docker.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/any4ai/AnyCrawl.git
cd AnyCrawlClone AnyCrawl and follow the README quick start to run the API and generate a key.
git clone https://github.com/any4ai/AnyCrawl.git
cd AnyCrawl # see README quick start for install/run commandsCreate a key for your self-hosted instance.
pnpm --filter api key:generate
# in Docker: docker compose exec api pnpm --filter api key:generateIt is maintained by any4ai on GitHub (any4ai/AnyCrawl), where the source, issues and releases live.
Yes — it is free and open source under the MIT licence, which permits use, modification and redistribution, including commercially, with attribution.
AnyCrawl itself is free to self-host; only the optional LLM extraction needs a provider key for the model you configure.
Compared with Firecrawl or other hosted scraping APIs, AnyCrawl's distinguishing focus is: a Node.js crawler that turns websites into LLM-ready data and extracts structured SERP results. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
Clone https://github.com/any4ai/AnyCrawl (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
OmO: a batteries-included orchestration layer that turns OpenCode into a multi-agent master
A free course to get into large language models, with roadmaps and runnable Colab notebooks
Google's Python library for extracting structured data from unstructured text with LLMs, with grounding
Convert documentation sites, GitHub repos and PDFs into Claude AI skills and RAG-ready knowledge assets.
Turn domain documents into high-quality LLM fine-tuning, RAG and evaluation datasets through a visual UI.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.