Home/LLM Frameworks/Awesome-LLM-Reasoning
Awesome-LLM-Reasoning logo

Awesome-LLM-Reasoning

atfortes/Awesome-LLM-Reasoning

Compiles resources on chain-of-thought prompting to advanced reasoning systems like OpenAI o1 and DeepSeek-R1.

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

62views this month

3.7k stars213 forksLast push Apr 20, 2026 MIT

Decision brief

Awesome-LLM-Reasoning is designed for developers and researchers focused on advanced reasoning capabilities in language models using chain-of-thought prompting techniques and multimodal learning.

Good fit when

  • Use when developing projects that integrate OpenAI's o1 or DeepSeek-R1 advanced reasoning systems as these resources are specifically referenced within the repository.
  • Suitable for professionals interested in the latest advancements in prompt engineering tailored towards specific models like GPT-4o and o1 from the listed research papers.

Avoid when

  • Avoid if your project does not require or involve advanced reasoning systems from specific providers such as OpenAI's o1, instead relying on general-purpose models.
  • Not recommended for those working exclusively with non-language-model AI applications that do not focus on in-context learning or multimodal capabilities.
Pricing:
freemium - Freely available under the MIT license; resources linked within may have separate access costs, particularly proprietary models.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (153d since push)
As of Sep 20, 2026
Provenance
Not a fork · Personal account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/atfortes/Awesome-LLM-Reasoning

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Covers chain-of-thought methods, prompt engineering, multimodal learning, in-context reasoning capabilities in language-models. Includes references to research papers and specific models from OpenAI GPT series and DeepSeek.

Capability facts

No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).

Categories

Tags

README

<a name="readme top" </a <div align="center" <a href="https://github.com/atfortes/Awesome LLM Reasoning/stargazers" <img src="https://img.shields.io/github/stars/atfortes/Awesome LLM Reasoning?style=for the badge" alt="Stargazers" </a <a href="https://github.com/atfortes/Awesome...

For agents

This page has a .md twin and JSON over the API.

Was this helpful?

Anonymous feedback helps us improve pages and translations.