CrewAI
Multi-agent automation framework & studio to build and run AI crews
Microsoft Agent Framework
Unified framework for building, orchestrating, and deploying AI agents
A multi-language SDK that lets developers create chat agents, graph‑based workflows, and multi‑agent orchestrations in Python or .NET, with built‑in observability, DevUI, and middleware.
Overview
Highlights
Graph‑based workflow orchestration with streaming and checkpointing
Cross‑language API parity for Python and .NET
Built‑in OpenTelemetry observability
Interactive DevUI for debugging and testing
Pros
- Supports both Python and .NET with consistent APIs
- Rich workflow capabilities including human‑in‑the‑loop
- Extensible middleware system
- Comprehensive observability out of the box
Considerations
- Prerelease packages may be less stable
- Requires familiarity with Azure or other LLM providers
- Current provider catalog is growing but not exhaustive
- Learning curve for graph‑based workflow concepts
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Fit guide
Great for
- Enterprise teams building scalable AI assistants
- Developers needing multi‑agent orchestration
- Researchers prototyping novel agent patterns
- Organizations standardizing on Azure OpenAI
Not ideal when
- Simple single‑turn bots where a lightweight library suffices
- Projects that cannot use Python or .NET runtimes
- Environments with licensing constraints beyond MIT
- Teams requiring a ready‑made UI without custom development
How teams use it
Customer support chatbot with escalation
Automates routine inquiries and routes complex issues to human agents via workflow orchestration.
Automated report generation pipeline
Chains data retrieval, analysis, and natural‑language summarization into a single end‑to‑end workflow.
Real‑time data analysis with human‑in‑the‑loop
Streams sensor data to an AI agent, allowing operators to intervene or adjust parameters on the fly.
Reinforcement‑learning research using AF Labs
Leverages experimental labs for benchmarking and training agents in simulated environments.
Tech snapshot
C#49%
Python46%
TypeScript5%
HTML1%
PowerShell1%
CSS1%
Frequently asked questions
How do I install the framework?
Use `pip install agent-framework --pre` for Python or `dotnet add package Microsoft.Agents.AI` for .NET.
Which programming languages are supported?
Full support for Python and C#/.NET with matching APIs.
Can I add my own LLM provider?
Yes, the middleware system lets you plug in custom providers or extend existing ones.
Is tracing available out of the box?
The framework includes OpenTelemetry integration for distributed tracing and monitoring.
What license is the framework released under?
The project is released under the MIT license.
Project at a glance
Active- Stars
- 6,644
- Watchers
- 6,644
- Forks
- 1,043
LicenseMIT
Repo age9 months old
Last commityesterday
Primary languagePython
Last synced yesterday