#electronics

A multi-agent AI architecture that connects 25+ specialized agents through n8n and MCP servers. Project NOVA routes requests to domain-specific experts, enabling control of applications from knowledge bases to DAWs, home automation to development tools. Includes system prompts, Dockerfiles, and workflows for a complete AI assistant ecosystem.

Instant access to electronic component datasheets for AI agents — specs, pinouts, package info, absolute max ratings, and application circuits extracted from manufacturer PDFs on demand. Ask your AI for any component's electrical characteristics, pin assignments, or package dimensions and get structured answers without downloading a single PDF. Built for hardware engineers designing PCBs, writing firmware, reviewing BOMs, and selecting parts.

Electronic component datasheets for AI agents — specs, pinouts, package data on demand. No PDFs required.

Fodda gives AI agents access to expert-curated knowledge graphs across retail, beauty, sports, consumer electronics, fashion, and innovation, plus a supplemental layer of 22 institutional data sources including FDA, FRED, PubMed, BLS, and Census. Agents query structured, sourced context via MCP for grounded, defensible outputs. Features: • 30 tools for search, traversal, evidence retrieval, and analysis • Knowledge graphs across six industry verticals • 22 institutional data sources (government, scientific, economic) • Earnings intelligence with analyst concerns and management responses • Brand tracker, deep research, and brainstorming tools • Source attribution and provenance for every node