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agent-framework

Active·★ 12.2k·MIT·Updated 2026-07-19
★ Trending★ Essential

Microsoft Agent Framework is a comprehensive multi-language framework for building, orchestrating, and deploying AI agents. It supports both .NET and Python, offering features from simple chat agents to complex multi-agent workflows with graph-based orchestration.

agent-framework is currently grouped under Observability, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Graph-based Workflows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities. and Developing simple chat agents.. The listed license is MIT, which is useful when adoption constraints matter. It also shows measurable community traction with 12.2k GitHub stars.

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#AI Agents#Multi-agent systems#Workflow orchestration#Python#.NET#Coding
$ Install
$ pip install agent-framework --pre
↗ Visit site★ GitHub
01

Features

01Graph-based Workflows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities.
02AF Labs for experimental features including benchmarking, reinforcement learning, and research initiatives.
03Interactive DevUI for agent development, testing, and debugging workflows.
04Full framework support for both Python and C#/.NET with consistent APIs.
05Built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging.
02

Why choose it

+Graph-based Workflows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities.
+Developing simple chat agents.
+Covers 5 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a MIT license, which makes adoption and review easier.
03

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04

Compatibility

Python
Native Support
Verified via docs
.NET
Native Support
Verified via docs
OpenAI
Supported
Verified via docs
Azure OpenAI
Supported
Verified via docs
Various LLM Providers
Extensible
Verified via docs
05

Quick start

1
$ pip install agent-framework --pre
06

Use cases

↳Developing simple chat agents.
↳Building complex multi-agent workflows.
↳Orchestrating AI agents using graph-based methodologies.
07

How it compares

≈agent-framework sits in the Observability category, so it makes more sense to evaluate it alongside tools like worldmonitor instead of in isolation.
≈If your main need is closer to "Developing simple chat agents.", that use case is a better lens for comparison than broad feature checklists alone.
≈agent-framework uses a MIT license, and community traction are both easier to judge in category context.
08

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Related searches

agent-framework AlternativesBest Observability Tools 2026Open Source Observabilityagent-framework Tutorialagent-framework Vs CompetitorsAI AgentsMulti-agent systemsWorkflow orchestration

Comments

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  • ?
    usr_seed_0917May 10, 2026

    The agent lifecycle management is solid. State transitions and error recovery are production-grade.

  • ?
    usr_seed_0775Apr 28, 2026

    Used for building enterprise AI workflows in .NET environments where Python-only frameworks don't fit.

  • ?
    usr_seed_0625Mar 28, 2026

    Deployment support alongside the orchestration layer is what separates this from academic frameworks.

  • ?
    usr_seed_0854Mar 23, 2026

    Multi-agent workflow orchestration is well-designed — coordination primitives are composable.

  • ?
    usr_seed_0767Mar 11, 2026

    Python and .NET support in the same framework is unusual and valuable for polyglot enterprise shops.

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07
How it compares
08Alternatives
Stats
GitHub Stars★ 12.2k
Last commit1d ago
StatusActive
LicenseMIT
CategoryObservability
Trend (30d)
+0.4k↑ 4.5%
Links
Documentation↗Discussion↗Issues↗Releases↗

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