RAG & Wissen
anything-llm
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
★ 66,7 Tsd. SterneMIT
Anleitung ansehen →argo ist ein Open-Source-Projekt aus der Kategorie Lokale LLMs von xark-argo (xark-argo/argo auf GitHub). Es hat 829 Sterne auf GitHub und 80 Forks, wird unter der Lizenz Custom veröffentlicht und wurde zuletzt am 6. Januar 2026 auf GitHub aktualisiert.
Desktop AI agent platform with one-click models and offline-first RAG.
Get the desktop app or Docker image.
One-click model setup.
Add offline-first RAG sources.
Let the agent think and plan.
No manual model wrangling.
Local knowledge bases for research.
Autonomous thinking and planning.
Nothing leaves your machine.
Integrate hosted models too.
Windows, Mac, and Docker.
Download the source and move into the project folder.
git clone https://github.com/xark-argo/argo.git
cd argoEvery 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 commandThat is its positioning: Manus-style agentic work on your desktop.
Custom license — read the repo's license file first.
Check the docs for the one-click model catalog.
Offline-first design; closed LLM integration is optional.
The last push shown is early 2026; check recent commits.
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
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Die anderen Projekte der Kategorie Lokale LLMs mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls argo nicht das Richtige ist.
The simplest way to run open language models on your own machine.
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LLM inference in C/C++
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Verwandte Projekte der Kategorie Lokale LLMs im Katalog, die argo bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Local security auditor for AI API relays — catches injection and swaps.
Local-first desktop workspace designed for running.
Early proposal and implementation for connecting LLMs to web pages.
Local-first dashboard of tokens, models, and cost for coding agents.
Browse and resume your AI coding-agent sessions on macOS.
Check if your GPU can fine-tune an LLM — memory estimates and LoRA recipes.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.