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Microsoft Agent Framework

learn.microsoft.com

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Re: Microsoft Agent Framework

#3
Curious what people see in these frameworks in 202(6). My experience has been that an agent is a simple while loop over tools/instructions/dialog. More complex integrations generally lie in the tools/context retrieval - but those have so far been so domain specific that it’s not worth pulling in a framework.

Re: Microsoft Agent Framework

#4
post #2

nice, are there other frameworks that are similar or better?

Certainly not better… it’s a one person project after all… but I have a workflow in typescript solution, not quite ready for prime time at workglow.dev. I’ll have AI agent stuff both in the framework and the UI (it’s feature flagged off at the moment) in January/February time frame.

The site above only runs local in browser models and uses a local user account. So it’s easy for infinite people to play with and costs me nothing to host.

It’s still a ways away from a Show HN post, and is more capable with remote frontier models, or with gguf over onnx (maybe?) whenever I get the local app out.

Re: Microsoft Agent Framework

#5
post #3

Curious what people see in these frameworks in 202(6). My experience has been that an agent is a simple while loop over tools/instructions/dialog. More complex integrations generally lie in the tools/context retrieval - but those have so far been so domain specific that it’s not worth pulling in a framework.

OpenAI agent sdk makes it extremely simple to get started with function calling and subagent-as-tools delegations.

If you use it with OpenAI responses api, there’s not even any need to store input items in your own DB

Re: Microsoft Agent Framework

#6
post #3

Curious what people see in these frameworks in 202(6). My experience has been that an agent is a simple while loop over tools/instructions/dialog. More complex integrations generally lie in the tools/context retrieval - but those have so far been so domain specific that it’s not worth pulling in a framework.

> Agent Framework offers two primary categories of capabilities:

> AI agents: Individual agents that use LLMs to process user inputs, call tools and MCP servers to perform actions, and generate responses. Agents support model providers including Azure OpenAI, OpenAI, and Azure AI.

> Workflows: Graph-based workflows that connect multiple agents and functions to perform complex, multi-step tasks. Workflows support type-based routing, nesting, checkpointing, and request/response patterns for human-in-the-loop scenarios.

Re: Microsoft Agent Framework

#7
Given Microsoft’s track record, come back in a few years and see if it still lives.

> It brings together and extends ideas from Semantic Kernel and AutoGen projects, combining their strengths while adding new capabilities

… and giving a hint what will happen to the aforementioned projects.

It’s a shame when someone’s promotion is tied to how many new things they ship.

> To learn more about migrating from either Semantic Kernel or AutoGen, see the Migration Guide from Semantic Kernel and Migration Guide from AutoGen.

It seems the motto of Microsoft for the last 15 years: “You won’t have time for new features — all you’ll do is migrations.”

Re: Microsoft Agent Framework

#10
I remember when "Microsoft Agent" meant the APIs that gave rise to Clippy, Rover, and (regrettably) even Bonzi Buddy.

The bitter irony is, Microsoft has since embrace-extend-extinguished Bonzi Buddy spyware tech, building it right into Windows 11. So... they're moving onward to the future I guess?

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