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 →beeai-framework ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von i-am-bee (i-am-bee/beeai-framework auf GitHub). Es hat 3.426 Sterne auf GitHub und 509 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 28. September 2026 auf GitHub aktualisiert.
Build production-ready AI agents in both Python and Typescript.
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.
Large language models drive its smartest features, locally or via API.
Built on Python, so it plugs into the wider data and ML tooling ecosystem.
Run agents on your infra with your keys.
Swap frontier models as better ones appear.
Traces show exactly what the agent did and why.
Approval gates for actions that matter.
Download the source and move into the project folder.
git clone https://github.com/i-am-bee/beeai-framework.git
cd beeai-frameworkEvery 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 commandIt is an open-source project at i-am-bee/beeai-framework with 509 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.
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.
Build production-ready agentic workflows from natural language — agents that operate browsers and computers.
Upsonic — build autonomous AI agents in Python, with prebuilt agents, custom tools, MCP and OCR built in.
Build AI agents in a no-code visual builder or TypeScript SDK, fully synced.
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls beeai-framework 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 beeai-framework bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Framework for AI agents to build and maintain a digital brain through Obsidian wiki | Memory System for Agents
EvoAgentX — a framework for building self-evolving ecosystems of AI agents.
A memory management kit for agents — remember me, refine me.
Control Gmail, Calendar, Docs, Sheets, Drive and more from AI — a full Google Workspace MCP server.
An open-source sandboxed agent harness for teams — a secured personal agent for every employee.
AI agents that use real Android and iOS apps like a human — from minitap.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.