Automatisierung
PyScrappy
Self-healing web scraping for AI agents, plus an MCP server.
★ 260 SterneMIT
Anleitung ansehen →JamAIBase ist ein Open-Source-Projekt aus der Kategorie Automatisierung von EmbeddedLLM (EmbeddedLLM/JamAIBase auf GitHub). Es hat 1.102 Sterne auf GitHub und 48 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 24. September 2026 auf GitHub aktualisiert.
The collaborative spreadsheet for building AI apps, cell by cell.
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.
Retrieval-augmented generation over your own documents.
A responsive interface built with current web tech.
Automate recurring scraping and data jobs.
Built to survive site changes and bot filters.
Deploy with containers in minutes.
Inspect and extend every part of the pipeline.
Download the source and move into the project folder.
git clone https://github.com/EmbeddedLLM/JamAIBase.git
cd JamAIBaseCreate a virtual environment and install the requirements.
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtStart the app or CLI and follow the README examples.
python main.py --helpIt is an open-source project at EmbeddedLLM/JamAIBase with 48 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes. It is Apache-2.0 licensed, so commercial use is allowed with attribution and license notices.
Basic setup is config-driven, but custom scrapers and pipelines benefit from some Python.
It includes stealth techniques, but no tool guarantees success against every site — respect robots.txt and terms of service.
Yes, most setups support cron-style scheduling or webhook triggers.
Self-healing web scraping for AI agents, plus an MCP server.
AI-native web scraper in a single binary — a Firecrawl alternative.
AI-driven YouTube video dubbing pipeline.
Offline skill library for building HarmonyOS NEXT apps with AI assistants.
Validation proxy that helps testers probe live web apps for vulnerabilities.
Token-efficient AI agent automation for apps, business, and personal projects.
Die anderen Projekte der Kategorie Automatisierung mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls JamAIBase nicht das Richtige ist.
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Verwandte Projekte der Kategorie Automatisierung im Katalog, die JamAIBase bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
One runtime to build, authenticate, and ship Terraform and Kubernetes work.
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Low-code AI automation for social listening, alerts, and brand analysis.
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Query language that lets AI agents read and act on the web precisely.
Self-hosted AI agents and workflow automation you can embed in your SaaS.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.