firecrawl vs LLM-Agent-Paper-List
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| firecrawl | LLM-Agent-Paper-List | |
|---|---|---|
| Tagline | The API to search, scrape, and interact with the web at scale. | Curated list of papers related to Large Language Model Based Agents as per the SCIS cover paper survey. |
| Stars | 147k | 8.2k |
| Forks | 8.5k | 493 |
| Open issues | 387 | 25 |
| Language | TypeScript | - |
| License | AGPL-3.0 | - |
| Last pushed | Jul 7, 2026 | Sep 12, 2025 |
| Categories | AI Agents, Data & Retrieval | AI Agents, Evaluation & Observability |
firecrawl
Firecrawl is an open-source web context API aimed at finding sources, extracting content, and converting it into clean Markdown or structured data. It focuses on reliability, speed, and LLM-ready output formats.
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.