Supercog is an open–source and no-code toolkit for building AI agents that actually get work done. It helps both developers and non-tech users create smart assistants that connect with your data—inside Slack, Excel, Salesforce, PDFs, and more—so you can streamline tasks and find answers fast without writing tons of code.
Key Features
Pre‑Built Tools & Integrations: Comes with ready-made connectors for documents, spreadsheets, Slack, Salesforce, databases—speeding up development.
No-Code + Developer Friendly: Easy “type-and-click” setup for non-coders, with full flexibility for developers to customize.
Open‑Source Core (Agentic): Fully transparent framework with smart defaults, extensible components, multi-agent workflows, and human-in-the-loop support.
Flexible Deployment & Privacy: Use it in the cloud or self-host on your own servers. Supports multiple LLMs (OpenAI, Anthropic, Meta’s LLaMA) while keeping data secure and compliant.
Use Cases
Meeting Note‑Taker: Records and transcribes meetings, summarizes key points, and logs action items.
Personal Data Analyst: Instantly interprets spreadsheets or databases and provides plain-language insights.
Deep Research Agent: Crawls and digests large information sets (websites, documents, etc.) to deliver concise summaries.
Technical Specifications
Agentic Framework: Built with Python, uses Ray for runtime, includes FastAPI, RAG support, and UI examples (Next.js, Streamlit).
Multimodal & Multi‑LLM Support: Can process text, images, videos, and interface with GPT, Claude, LLaMA, and other models.
Enterprise‑Ready Architecture: Supports debugging, testing tools, scalable deployment, on-premise options, audit logs, and data privacy controls.