firecrawl vs agent-lightning
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| firecrawl | agent-lightning | |
|---|---|---|
| Tagline | The API to search, scrape, and interact with the web at scale. | The absolute trainer to light up AI agents. |
| Stars | 147k | 17k |
| Forks | 8.5k | 1.5k |
| Open issues | 387 | 156 |
| Language | TypeScript | Python |
| License | AGPL-3.0 | MIT |
| Last pushed | Jul 7, 2026 | Apr 29, 2026 |
| Categories | AI Agents, Data & Retrieval | Model Training, AI Agents |
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
agent-lightning
Agent Lightning is a Python tool designed for training and optimizing AI agents with minimal code changes. It supports various agent frameworks and includes features like reinforcement learning, automatic prompt optimization, and supervised fine-tuning. Users can selectively optimize one or more agents in a multi-agent system.
Python