Syllabi – Open-source agentic AI with tools, RAG, and multi-channel deploy (www.syllabi-ai.com)

Syllabi is an open-source, MIT-licensed agentic chatbot platform you can self-host to turn documents, websites, and cloud drives into an interactive, multi-channel knowledge assistant. It ingests PDFs, videos, Notion, Google Drive, and web pages, uses advanced retrieval-augmented generation (RAG) to return cited answers with clickable source highlighting, and can be deployed as a web/embedded widget, standalone app, or integrated into Slack and Discord. The system supports rich multimedia responses, Mermaid diagrams, and native in-browser code execution via Pyodide and WebR so users can generate and run Python/R code without a backend server. For AI/ML teams and developers, Syllabi’s significance is twofold: privacy/control and extensibility. Being self-hostable and MIT-licensed removes vendor lock-in and keeps data on your infrastructure, while a REST API, custom skills, webhooks, and tool integrations let the agent act autonomously—deciding when to call external services, send Slack messages, trigger workflows, or call custom APIs. Model configuration supports OpenAI models (GPT-4, GPT-3.5) with adjustable behavior, and analytics help monitor usage. In short, Syllabi provides a production-ready, extensible RAG + agentic toolkit for education, support, and internal docs that balances practical integrations with developer control and privacy.