Agentes de IA
deer-flow
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
★ 83,4 mil estrelasMIT
Ver o guia →llm-wiki é um projeto de agentes de IA de código aberto de nvk (nvk/llm-wiki no GitHub). Tem 1.379 estrelas no GitHub e 131 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 2 de outubro de 2026.
Parallel multi-agent research that compiles wikis from any topic.
Anything you want a wiki about.
Agents investigate in parallel.
A thesis-driven knowledge base.
Ask questions, generate artifacts.
Parallel investigation.
Structured inquiry, not scraping.
Readable knowledge bases.
Pulls from many sources.
Ask the wiki questions.
Export reports and docs.
Download the source and move into the project folder.
git clone https://github.com/nvk/llm-wiki.git
cd llm-wikiEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at nvk/llm-wiki with 131 forks.
Yes. MIT licensed.
Verify important claims; it compiles from public sources.
Your model API usage for the research agents.
Wikis, reports, and generated artifacts.
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
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An autonomous research agent that plans, searches and writes cited reports from any data source
Microsoft's R&D-Agent: LLM agents that automate data-driven research, Kaggle modelling and LLM fine-tuning.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.