KI-Agenten
agentsight
See what your AI agents do — at the system level.
★ 728 SterneMIT
Anleitung ansehen →phoenix ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von Arize-ai (Arize-ai/phoenix auf GitHub). Es hat 11.746 Sterne auf GitHub und 1.192 Forks, wird unter der Lizenz NOASSERTION veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.
Observability and evaluation for AI apps — see what your agents do.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
See every call your app makes.
Follow multi-step agent behavior.
Score quality systematically.
Compare runs and prompts.
LangChain, Anthropic SDKs, and more.
Pushed as recently as this week.
Download the source and move into the project folder.
git clone https://github.com/Arize-ai/phoenix.git
cd phoenixIsolate dependencies, then install requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtLaunch using the entry point shown in the README.
python -m phoenix # check README for the exact commandIt is an open-source project at Arize-ai/phoenix with 1192 forks. Check the contributors tab and recent commits to judge how active maintenance is.
GitHub lists no license for this repo, so legally it's all rights reserved — check the README or ask the maintainer before building on it.
Traces of LLM calls, agent runs, latency, and quality signals — plus datasets and experiments for evals.
It integrates with LangChain, Anthropic SDKs, and agent workflows; check the docs for your stack.
Clone the repo and follow the README quickstart — the docs at https://arize.com/docs/phoenix walk through setup.
See what your AI agents do — at the system level.
Open-source LLM observability: trace, evaluate and monitor apps and agents
OpenTelemetry-native observability for LLM apps.
A complete evaluation toolkit for AI agents.
ByteDance's open-source multimodal AI agent stack: GUI agents that see and operate real desktops
Apache framework for apps that make decisions: agents, chatbots, simulations.
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls phoenix nicht das Richtige ist.
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DeepSeek's plugin-based agent harness where everything is a plugin.
Verwandte Projekte der Kategorie KI-Agenten im Katalog, die phoenix bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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MCP server letting AI agents run 150+ cybersecurity tools for authorized pentesting and research.
Local-first agentic workspace where Claude Code, Codex and a built-in agent share memory, apps and tools.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.