dify vs LLM-Agent-Paper-List
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| dify | LLM-Agent-Paper-List | |
|---|---|---|
| Tagline | Production-ready platform for agentic workflow development | Curated list of papers related to Large Language Model Based Agents as per the SCIS cover paper survey. |
| Stars | 148k | 8.2k |
| Forks | 23k | 493 |
| Open issues | 851 | 25 |
| Language | TypeScript | - |
| License | Other | - |
| Last pushed | Jul 7, 2026 | Sep 12, 2025 |
| Categories | AI Agents | AI Agents, Evaluation & Observability |
dify
Dify is a production-ready platform designed to facilitate the creation and management of agentic workflows. It supports TypeScript, Python, and leverages frameworks like Next.js.
TypeScript
LLM-Agent-Paper-List
Repository containing a comprehensive list and brief introductions to key research papers on developing and evaluating agents based on large language models (LLMs), focusing on their rise, potential applications, and advances in training methodologies such as reinforcement learning.