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 …
★ 5,9k estrellasMIT
Ver la guía →swarms es un proyecto de agentes de IA de código abierto de kyegomez (kyegomez/swarms en GitHub). Tiene 7.229 estrellas en GitHub y 1.036 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 3 de octubre 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
Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si swarms no es lo que buscas.
A personal AI that really does things — on any OS, with your data staying yours.
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The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a swarms: sigue explorando a ambos lados.
Voyager — the open-ended embodied Minecraft agent that writes its own skills and keeps learning for life.
Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents.
Programmable guardrails to keep LLM systems safe and on rails.
Open-source 7B vision-language-action model and codebase for generalist robot manipulation.
OpenTelemetry-native observability for LLM apps.
A framework for building agentic apps
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.