Code & Development · GitHub ·94 ★

q-star

Q-Star Agent Code: A reinforcement learning-based framework for intelligent agents using Microsoft AutoGen. It leverages Q-Star, a Q-learning variant, for dynamic decision-making. Ideal for developing adaptive AI agents in diverse applications, from service bots to advanced simulations. Includes set

Details

Author
ruvnet
Category
Code & Development
Platform
GitHub
Framework
autogen
Language
python
Stars
94
First indexed
2026-05-15
Last active
2024-01-31
Directory sync
2026-05-15

Overview

Q-Star Agent Code: A reinforcement learning-based framework for intelligent agents using Microsoft AutoGen. It leverages Q-Star, a Q-learning variant, for dynamic decision-making. Ideal for developing adaptive AI agents in diverse applications, from service bots to advanced simulations. Includes set

Quick start

git

git clone https://github.com/ruvnet/q-star

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What q-star can do

  • Framework — framework task automation.
  • Rag — Retrieves grounded context before answering.
  • Code — Reads and modifies code in your repository.

Frequently asked questions

What is q-star?
Q-Star Agent Code: A reinforcement learning-based framework for intelligent agents using Microsoft AutoGen. It leverages Q-Star, a Q-learning variant, for dynamic decision-making. Ideal for developing adaptive AI agents in diverse applications, from service bots to advanced simulations. Includes set
How do I install q-star?
Use git: `git clone https://github.com/ruvnet/q-star`. Full setup details on the source page linked above.
Is q-star open source?
q-star is published on GitHub.
What are alternatives to q-star?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for q-star is sourced from GitHub, published by ruvnet.

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