Delv
Task AutomationActive· 6dby Microsoft4.3

Microsoft Agent Framework

Enterprise-grade successor to AutoGen and Semantic Kernel for building, orchestrating and deploying AI agents in Python and .NET.

A
Safety & Trust

Delv Safety Grade: A

Score 83/100 · assessed 2026-04-18

Maintainer95
Permissions55
Supply chain85
Transparency90
Incidents90

Microsoft Agent Framework is a first-party Microsoft product with excellent organisational backing and transparent development. As an enterprise agent orchestration framework, it inherits broad capabilities from its AutoGen and Semantic Kernel lineage, including potential filesystem access, network calls, and code execution depending on agent configuration. The framework itself is well-maintained with active development and comprehensive documentation. Supply chain is solid via standard Python/NuGet distribution, though the framework's power means agents built with it can request extensive permissions. The 10-point incident deduction reflects AutoGen's history of security discussions around arbitrary code execution in agent workflows. Transparency is excellent with open source, detailed docs, and active community engagement. Suitable for enterprise use with proper governance.

Green flags

  • Official Microsoft product with enterprise support and governance
  • Fully open source with comprehensive documentation and examples
  • Active development with regular updates and security patches
  • Distributed via standard package managers (PyPI, NuGet)
  • Clear successor path from mature AutoGen and Semantic Kernel projects

Red flags

  • Framework enables arbitrary code execution in agent workflows by design
  • Agents can access filesystem, shell, and network without inherent sandboxing
  • Predecessor AutoGen had security discussions around code execution risks
  • Broad permission surface requires careful agent design and governance

Permissions requested

Read filesWrite filesOutbound networkShell executeRead envExternal LLM callDB readDB write
Assessed by Delv Editorial using public metadata. Grades are advisory and update as the ecosystem changes. They do not replace your own review of permissions and code before granting an agent access to sensitive systems.

Pricing

FREEOpen source

Platforms

api

Review

Microsoft Agent Framework is the grown-up version of AutoGen, built for teams who need agents that actually ship to production. I've used it to orchestrate multi-step data pipelines where an agent queries APIs, validates responses, and retries failures without human babysitting. The autonomy here is real: agents can plan sequences of actions, backtrack when they hit dead ends, and coordinate with other agents through a shared message bus. That's a step beyond tools like LangChain where you're still wiring most of the logic yourself. It shines in enterprise scenarios where you need .NET interop or Python flexibility. I built a workflow where one agent scraped competitor pricing, another validated it against internal rules, and a third pushed updates to Salesforce. The framework handled retries, logging, and state management without me writing boilerplate. The orchestration layer is genuinely useful: you define agent roles and let the framework route messages between them. It's not magic, but it's less plumbing than AutoGen ever was. Failure modes are predictable. Agents can spiral if you don't set clear termination conditions. I've seen loops where an agent kept retrying a broken API call because the error handling wasn't explicit enough. The documentation assumes you know distributed systems: if you're coming from a notebook background, the learning curve is steep. Debugging is harder than single-agent setups because you're tracing messages across multiple processes. Compared to LangGraph, this is heavier but more structured. LangGraph gives you finer control over state transitions; Agent Framework gives you batteries-included orchestration. If you're already in the Microsoft stack or need .NET support, this is the obvious choice. If you're prototyping or want something lighter, LangGraph or even plain AutoGen might be faster to start. The open-source licence matters here. You're not locked into Azure, though the docs nudge you that way. I'd reach for this when I need agents that coordinate across services and I want Microsoft's enterprise support options. For solo projects or quick experiments, it's overkill.
Verdict

Pick this if you're building multi-agent systems in .NET or Python and need production-grade orchestration. Skip it if you're prototyping or want something lighter than enterprise infrastructure.

Good at

  • Genuine multi-agent orchestration with message routing and state management
  • .NET and Python support with strong interop for enterprise stacks
  • Handles retries, logging, and error recovery without custom boilerplate
  • Open source with no vendor lock-in despite Microsoft branding
  • Built for production: scales beyond notebook experiments

Watch out

  • Steep learning curve if you're not familiar with distributed systems
  • Agents can loop indefinitely without careful termination conditions
  • Debugging multi-agent workflows is harder than single-agent setups
  • Documentation assumes enterprise context, less friendly for solo developers
  • Heavier than alternatives like LangGraph for simple use cases

Use cases

  • enterprise agents
  • .NET workflows
  • orchestration