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DimensionLumera Agent MemoryDurable agent memory with Cascade object storage and local FTS indexFirecrawl MCP ServerFirecrawl's official MCP server for web search, scraping, and structured extraction for AI agents
FMRS24 / 100 · D75 / 100 · B
Reliability5 / 2013 / 20
Security and permissions5 / 2012 / 20
Maintenance7 / 2016 / 20
Documentation3 / 2017 / 20
Setup experience4 / 2017 / 20
Best for
  • Agent applications requiring cross-session memory
  • Users who prioritize data privacy and prefer local memory storage
  • Scenarios needing clean, structured web context fed to an AI assistant
  • Users already on the Firecrawl platform who want to call its scraping capability directly via MCP
Not for
  • Applications needing complex relational queries
  • Scenarios requiring large-scale distributed storage
  • Simple static-page scraping where you don't want to depend on a third-party API and incur call costs
  • Sites that explicitly disallow automated access (robots.txt)
Required permissions
  • Access local filesystem to store and retrieve memory data
  • May access Cascade object storage service (specific permissions depend on deployment config)
  • Requires a Firecrawl API key to call; cost and quota are governed by the Firecrawl account
  • firecrawl_agent/firecrawl_interact perform automated browser interaction, which may trigger login or form-submission flows on the target site
Risks and side effects
  • Memory data may contain sensitive information; client-side encryption helps mitigate leaks
  • Local index dependency; storage capacity may impact performance
  • Bulk crawl/map tools can generate significant request volume against a target site — respect the site's rate limits and terms of service
  • firecrawl_agent's interactive action chain is longer — define task boundaries clearly before running it to avoid accidentally triggering actions on a sensitive site
Supported clientsClaudeClaude Desktop, VS Code, Cursor, Windsurf, Zed, Amp
Tools011