firecrawl vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| firecrawl | awesome-llm-apps | |
|---|---|---|
| Tagline | The API to search, scrape, and interact with the web at scale. | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 147k | 117k |
| Forks | 8.5k | 17k |
| Open issues | 387 | 6 |
| Language | TypeScript | Python |
| License | AGPL-3.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jun 15, 2026 |
| Categories | AI Agents, Data & Retrieval | AI Agents, LLM Frameworks |
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
awesome-llm-apps
A repository containing a collection of AI agent and Retrieval-Augmented Generation (RAG) applications that are ready to be cloned, customized, and deployed. The projects cover various aspects such as AI agents, always-on agents, multi-agent teams, RAG techniques, voice agents, fine-tuning for specific use cases, and more.
Python