Microsoft Agent Framework vs Loop Engineering
Side-by-side comparison of two AI agent tools
Short answer
- Microsoft Agent Framework is growing faster: +380 GitHub stars in the last 30 days vs +180 for Loop Engineering.
- Pick Microsoft Agent Framework for: a framework for building, orchestrating and deploying AI agents and multi-agent workflows with support. Pick Loop Engineering for: patterns, starters, and CLI tools for orchestrating AI coding agents, verifying results, and persisting state.
From GitHub data refreshed daily.
M
Microsoft Agent Frameworkopen-source
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
L
Loop Engineeringopen-source
Patterns, starters, and CLI tools for orchestrating AI coding agents, verifying results, and persisting state
Metrics
| Microsoft Agent Framework | Loop Engineering | |
|---|---|---|
| Stars | 13.9k | 11.4k |
| Star velocity /mo | 380 | 180 |
| Commits (90d) | 942 | 401 |
| Releases (6m) | 10 | 2 |
| Downloads (30d, npm + PyPI) | 166.3K | — |
| Overall score | 0.8071978676126119 | 0.674688840656519 |
FAQ
- Which is more popular, Microsoft Agent Framework or Loop Engineering?
- Microsoft Agent Framework has more GitHub stars (13,921 vs 11,408).
- Which is more actively developed, Microsoft Agent Framework or Loop Engineering?
- Microsoft Agent Framework had more commits in the last 90 days (942 vs 401).
- Should I use Microsoft Agent Framework or Loop Engineering?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.