Agentes de IA
agentops
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI …
★ 5,9 mil estrelasMIT
Ver o guia →swarms é um projeto de agentes de IA de código aberto de kyegomez (kyegomez/swarms no GitHub). Tem 7.229 estrelas no GitHub e 1.036 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 3 de outubro de 2026.
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
Research, coding, browsing, or ops — agents work best with a clear goal.
From no-code builders to code-first SDKs, match complexity to the task.
Web search, code execution, and APIs are what make agents useful.
Watch the trace, approve consequential actions, iterate.
Machine learning is baked into the core workflow, not bolted on.
Traces show exactly what the agent did and why.
Approval gates for actions that matter.
Long-term memory across sessions, not goldfish chat.
Specialized agents collaborate on bigger jobs.
Agents call real tools: browsers, terminals, APIs.
Download the source and move into the project folder.
git clone https://github.com/kyegomez/swarms.git
cd swarmsEvery 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 commandAlso on this shelf: x402 — a payments protocol for the internet — built on plain HTTP. The AI Agents shelf also holds ag2 — the open-source AgentOS, formerly known as AutoGen. Also on this shelf: PyRIT — Microsoft's open framework for red-teaming generative AI systems.
It is an open-source project at kyegomez/swarms with 1,036 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
Model API bills dominate; self-hosted stacks cut that sharply.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
Sandboxing, approval gates, and least-privilege credentials.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI …
AdalFlow: The library to build & auto-optimize LLM applications.
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and mul…
Swarm — OpenAI's experimental framework for lightweight multi-agent orchestration with agents and handoffs, MIT
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Os outros projetos de Agentes de IA com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se swarms não for o ideal para você.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.