Agentes de IA
CAMEL
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
★ 17,8 mil estrelasApache-2.0
Ver o guia →InternAgent é um projeto de agentes de IA de código aberto de InternScience (InternScience/InternAgent no GitHub). Tem 1.444 estrelas no GitHub e 130 forks, é publicado sob a licença Custom e foi atualizado pela última vez no GitHub em 29 de julho de 2026.
Agentic framework for long-horizon autonomous scientific discovery.
Set the scientific question.
It surveys literature autonomously.
The AI proposes experiments.
Long-horizon autonomous research.
Works for weeks, not minutes.
AI proposes new ideas.
Automatic literature review.
Runs its own experiments.
Built for research labs.
One system, many capabilities.
Download the source and move into the project folder.
git clone https://github.com/InternScience/InternAgent.git
cd InternAgentEvery 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 commandInternScience, at InternScience/InternAgent, with 130 forks.
It uses a custom license, so check the repo’s terms.
Promising but verify everything; it assists researchers, not replaces them.
Long-horizon runs need serious model API budget.
Scientific discovery broadly; see the examples.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
A control plane with a durable state kernel that keeps long-horizon agents moving across sessions.
A lean, HuggingFace-native RL framework for agentic research.
A benchmark testing whether agents can solve long-horizon coding tasks.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.