firecrawl vs vearch
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| firecrawl | vearch | |
|---|---|---|
| Tagline | The API to search, scrape, and interact with the web at scale. | Distributed vector search for AI-native applications |
| Stars | 147k | 2.3k |
| Forks | 8.5k | 362 |
| Open issues | 387 | 170 |
| Language | TypeScript | Go |
| License | AGPL-3.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | AI Agents, Data & Retrieval | Vector Databases |
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
vearch
Vearch is a cloud-native distributed vector database designed to efficiently handle similarity searches of embedding vectors in AI applications. It supports hybrid search, high performance, scalability, and reliability.
Go