firecrawl vs chromem-go
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| firecrawl | chromem-go | |
|---|---|---|
| Tagline | The API to search, scrape, and interact with the web at scale. | Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. |
| Stars | 147k | 1.0k |
| Forks | 8.5k | 70 |
| Open issues | 387 | 17 |
| Language | TypeScript | Go |
| License | AGPL-3.0 | MPL-2.0 |
| Last pushed | Jul 7, 2026 | May 17, 2026 |
| Categories | Data & Retrieval, AI Agents | Vector Databases, Data & Retrieval |
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
chromem-go
chromem-go is a lightweight, embeddable vector database written in Go that provides an interface reminiscent of Chromadb. It supports in-memory operations and optional persistence to disk, ideal for adding retrieval-augmented generation features directly into Go applications without requiring external databases. Targeted towards simplicity and performance in common use cases.
Go