KI-Agenten
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 Tsd. SterneMIT
Anleitung ansehen →swarms ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von kyegomez (kyegomez/swarms auf GitHub). Es hat 7.229 Sterne auf GitHub und 1.036 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 3. Oktober 2026 auf GitHub aktualisiert.
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
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls swarms nicht das Richtige ist.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Verwandte Projekte der Kategorie KI-Agenten im Katalog, die swarms bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.