My team has been using AutoGen v0.2 for our internal coding assistants, but I see that Microsoft has recently launched the "Microsoft Agent Framework" (MAF) as a Release Candidate. Does this mean autogen is being deprecated for enterprise use? I’m worried about the "Conversational Chaos" we sometimes hit with open-ended agent debates and want to know if the new graph-based Workflow model in MAF actually solves the predictability issues for production.
3 answers
You’ve hit on the biggest shift in the ecosystem this year. Autogen (now often referred to as the AG2 line in the community) is still great for R&D and "brainstorming" agents, but for high-stakes enterprise logic, Microsoft is pushing everyone toward the Microsoft Agent Framework. The key difference is the move from "Implicit Conversation" to "Explicit Workflows." In MAF, you define typed nodes and edges, similar to LangGraph, which kills the "infinite loop" problem that made autogen risky for token budgets. If you’re building for a corporate environment where you need a strict audit trail, the migration is definitely worth it.
Does the new framework still support the "User Proxy" pattern that made autogen so easy to use for code execution?
I’ve stopped relying on console logs entirely and moved our autogen workflows to use the new "Agent-Protocol" standard. It allows us to use third-party observability dashboards that give a clean, visual sequence diagram of every agent-to-agent handoff.
Brian is spot on. Standardizing the protocol is the only way to scale these systems. It makes the autogen interactions look like a structured network trace rather than a messy chat log, which is much easier for our DevOps team to monitor.
It does, but it's more modular now. Instead of a single "User Proxy" class, you use "Agent Skills" which can be packaged as file-based directories. It gives you much finer control over what the agent can actually execute in your shell.