Traffic Light: Production-ready orchestrator for multi-framework AI agents (LangChain + AutoGen + CrewAI)

Sharing something I built to solve a real production headache.

The problem in prod:

• Team A uses LangChain for RAG pipelines
• Team B uses AutoGen for multi-agent conversations
• Team C wants to try CrewAI for workflows
• Now you need them to work together. Good luck.

What Traffic Light does:

Network-AI is an MCP (Model Context Protocol) orchestrator built for production multi-agent systems:

• Framework agnostic — LangChain, AutoGen, CrewAI agents in the same pipeline
• 14 AI adapters — OpenAI, Anthropic, Azure, Bedrock, local models (Ollama, vLLM)
• Explicit routing — no surprise API calls, you define exactly which model handles what
• Swarm orchestration — coordinate agent handoffs without custom glue code

Production features:

• Deterministic routing (critical for compliance)
• Works with your existing model deployments
• No vendor lock-in — swap adapters without rewriting agents

Open source (MIT): https://github.com/jovanSAPFIONEER/Network-AI

For those running multi-agent systems in prod — what's your current orchestration setup? Curious how others are handling the framework fragmentation problem.