DeepYard

Firecrawl vs Mem0

Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.

Direct Answer

Firecrawl suits teams needing freemium free tier, web scraping focus, and 170,656 GitHub stars in current listing data. Mem0 suits teams needing freemium $49/mo, memory focus, and 63,787 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.

What this comparison weighs

  • Pricing and free-tier availability
  • License model and deployment fit
  • GitHub adoption and contributor depth
  • Catalog tags, integrations, and supported workflows
F

Firecrawl

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

OSSfreemium
170.7Ktoday162
Visit GitHub
M

Mem0

Persistent, adaptive memory layer for AI agents and assistants

OSSfreemium
63.8Ktoday393
Visit GitHub
MetricFirecrawlMem0
GitHub Stars170.7K63.8K
Contributors162393
Last CommitAug 22, 2026Aug 21, 2026
Open Issues546683
Licenseopen-sourceopen-source
Pricingfreemiumfreemium
Free TierYesYes
Categorydev-toolsdev-tools
TrendingNoNo

Choose Firecrawl if you need

  • • Firecrawl stands out for Web Scraping workflows that are not listed for Mem0.
  • • Firecrawl is the stronger pick when Llamaindex matters because that capability is listed only on its profile.
  • • Firecrawl shows broader GitHub adoption with 170,656 stars versus 63,787 for Mem0.

Choose Mem0 if you need

  • • Mem0 stands out for Memory workflows that are not listed for Firecrawl.
  • • Mem0 is the stronger pick when Openai matters because that capability is listed only on its profile.
  • • Mem0 has a larger visible contributor base (393 vs 162).

Meaningful differences

  • • Pricing model: Firecrawl is listed as freemium, while Mem0 is listed as freemium from $49/mo.
  • • Workflow emphasis: Firecrawl highlights Web Scraping, while Mem0 highlights Memory.
  • • GitHub adoption: Firecrawl shows 170,656 stars versus 63,787 for Mem0.
  • • Contributor count: Firecrawl lists 162 contributors and Mem0 lists 393.

Shared capabilities

  • • Open Source
  • • Langchain
  • • Crewai

Shared Tags

open-source

Only in Firecrawl

web-scrapingragapillm-datamarkdownpython

Only in Mem0

memorypersonalizationagentsllm-ops

Limitations and evidence

  • • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
  • • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
  • • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.

Source links

Manifest content date: 2026-08-21

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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