FlowFRAM Connector

FlowFRAM Connector bridges the FlowFRAM web application with your local services, enabling two powerful capabilities from a single extension: ▶ RUNTIME PROXY — Run high-performance FRAM (Functional Resonance Analysis Method) simulations on your own machine or private network using FlowFRAM's distributed runtime agent. ▶ OLLAMA PROXY — Use your local Ollama LLM instance for AI-assisted analysis directly from flowfram.com. No API keys needed — your models, your hardware, your data. 🚀 Key Features: - Dual-purpose: Runtime + Ollama proxy in a single extension - Seamless connection between FlowFRAM and local runtime agents - Local LLM inference via Ollama (generate, chat, list models) - Real-time flow deployment and execution monitoring via SSE - Tabbed configuration: separate settings for Runtime and Ollama - Visual badge indicator: R (Runtime), O (Ollama), R·O (both), or red ! (error) - Automatic connection status detection - Origin header stripping for full Ollama compatibility - On-demand host permissions — only requests access when needed - Secure local communication without exposing data to external servers 💡 Why use a local runtime? - Execute thousands of simulation iterations per second - Access local APIs, databases, and network resources - Keep sensitive data on your own infrastructure - Work offline once connected 🧠 Why use local Ollama? - Run AI analysis with your own hardware — no cloud API costs - Full privacy: your prompts and data never leave your machine - Use any Ollama-supported model (Llama 3, Mistral, Gemma, Phi, etc.) - No API keys or subscriptions required 🔧 How it works: 1. Install the FlowFRAM Runtime Agent on your machine (Docker Hub image available) and/or install Ollama with a model 2. Install this extension and configure the service URLs (defaults: localhost:3010 for Runtime, localhost:11434 for Ollama) 3. Open FlowFRAM — the extension automatically bridges your browser to local services, bypassing CORS restrictions 📋 Requirements: - For Runtime: FlowFRAM Runtime Agent running locally or on your network (Docker: cgoudouris/flowfram-runtime) - For Ollama: Ollama installed with at least one model pulled (e.g., ollama pull llama3) - Both services are optional — enable only what you need 🔒 Privacy: - No data collection, no analytics, no tracking - Configuration stored locally via chrome.storage.local - All communication stays between your browser and your local services This extension is part of PhD research on complex systems modeling using the FRAM methodology. Learn more at https://flowfram.com/agent 🎓 Academic context: This extension is part of the doctoral research of César Augusto Simões Goudouris (ORCID 0009-0006-2693-0267) at the Programa de Pós-Graduação em Informática (PPGI), Universidade Federal do Rio de Janeiro (UFRJ), Brazil, supervised by Prof. Paulo Victor Rodrigues de Carvalho, DSc (PPGI/UFRJ) and Prof. Alessandro Jatobá, DSc (CEE/Fiocruz). The underlying FRAM ontology is archived on Zenodo (DOI 10.5281/zenodo.18880157). Learn more at https://flowfram.com/agent