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Firecrawl vs Mem0

Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.

F

Firecrawl

Web scraping API built for LLMs — turn any website into LLM-ready data — 89K+ stars

OSSfreemium
102.1Ktoday138
M

Mem0

Persistent, adaptive memory layer for AI agents and assistants

OSSfreemium
51.6Ktoday284
MetricFirecrawlMem0
GitHub Stars102.1K51.6K
Contributors138284
Last CommitMar 31, 2026Apr 1, 2026
Open Issues240243
Licenseopen-sourceopen-source
Pricingfreemiumfreemium
Free TierYesYes
Categorydev-toolsdev-tools
TrendingNoNo

Shared Tags

open-source

Only in Firecrawl

web-scrapingragapillm-datamarkdownpython

Only in Mem0

memorypersonalizationagentsllm-ops

About Firecrawl

Firecrawl is a web scraping API that turns entire websites into clean, LLM-ready markdown or structured data. Handles JavaScript rendering, anti-bot bypassing, sitemaps, and recursive crawling. Provides scrape (single URL), crawl (entire site), map (discover URLs), and extract (structured data) endpoints. Essential infrastructure for RAG pipelines and AI agents that need web data.

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About Mem0

Mem0 provides a managed memory layer that gives AI agents and chatbots the ability to remember user preferences, past interactions, and contextual facts across sessions. It automatically extracts and stores relevant memories from conversations, retrieves them at inference time via semantic search, and handles forgetting of stale information. Compatible with any LLM and easy to self-host, Mem0 is the most widely adopted open-source memory solution for AI applications.

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