Agents 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 k étoilesMIT
Voir le guide →swarms est un projet de agents IA open source, créé par kyegomez (kyegomez/swarms sur GitHub). Il compte 7 229 étoiles sur GitHub et 1 036 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 3 octobre 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
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A framework for building agentic apps
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.