Synaplan
Open-source AI platform for companies: self-hosted AI agents, GDPR-compliant chatbot widget, RAG knowledge base, WhatsApp and Outlook AI, MCP, multi-model routing. Docker, Kubernetes or hosted in Germ
A website assistant that cites its sources, admits when it doesn't know, and hands off to your team.
BusinessHTML · PythonGitHub @QasimOmerOnlineOwner unconfirmed
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The maker's introduction consists of the line above. Read the repository README for more details. Repository README ↗
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Read the full README ↗A complete, production-ready SaaS platform built as a 1:1 equivalent of AnswerWeave, powered by Grounded RAG, Zero Hallucination Guardrails, AI Call-Prep Briefs, and Multi-Website Tenancy.
Multi-Website / Multi-Assistant Management:
1-Line Embeddable Chat Widget (widget.js):
<script src="http://localhost:8000/static/widget.js" data-assistant-id="asst_default"></script>
Strict Zero-Hallucination Grounding:
[1], [2]).Lead Capture & Signature AI Call-Prep Briefs:
Multi-Engine AI Support:
This repository is pre-configured for instant serverless deployment on Vercel:
api/index.py: Serverless ASGI entry point.vercel.json: Automated URL rewrites for all REST routes and static assets.requirements.txt: Python package specification.git init
git add .
git commit -m "Initial commit of WeaveFlow AI"
git branch -M main
git remote add origin https://github.com/YOUR_USERNAME/YOUR_REPOSITORY.git
git push -u origin main
api/index.py and vercel.json).SILICONFLOW_API_KEY: (Optional free Chinese model key)GEMINI_API_KEY: (Optional Google Gemini key)GROQ_API_KEY: (Optional Groq key)Within ~60 seconds, your WeaveFlow AI SaaS platform will be live at https://your-project.vercel.app with free SSL!
Run the server locally using Python 3:
py -3 run.py