GitNova

GitHub seismograph — discoveries and growing interest

microsoft/agent-framework

AI agentsPython#agent-framework#agentic-ai#agents#ai#multi-agent
Total stars
14,003
Today · UTC
—No data
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A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

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About the project

Microsoft's open multi-language framework for building, orchestrating and deploying production-grade AI agents and multi-agent workflows in Python, .NET and Go. Supports graph patterns, middleware, observability and multiple LLM providers.

Useful for
  • Build a multi-agent workflow with sequential or concurrent orchestration in Python
  • Connect an agent to Azure OpenAI or Microsoft Foundry via a ready client
  • Add OpenTelemetry tracing and human-in-the-loop to an existing agent

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

2.4 Steady Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of October 8, 2026, 11:14 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

050100July 11, 2026October 8, 2026

Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.

Why it’s trending

  • There are not enough fresh counter measurements for today's UTC day. The gain is unknown.
  • GitHub Trending Python today: #9, +24 stars.
  • About 9 forks a day — people are taking the code.
  • Recent forks include notable developers: @victorpreston (1,351 followers).

Three GitHub discoveries in each edition

What they do, why they are gaining interest, and what to check before using them.

Editions at 10:00, 16:00, 22:00 MSK.

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Numbers

Total stars
14,003
Today
Not enough measurements today
Forks
2,444
Issues and pull requests
8,738
Watchers
110
Language
Python
License
MIT
Latest release
python-1.21.0 · October 8, 2026
Created
April 28, 2025
Last push
October 8, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

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