Mengram vs Spider Cloud

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionMengramSpider Cloud
Core FunctionPersistent AI agent memory (semantic, episodic, procedural)Web crawling, scraping, and search API
Open SourceYes (Apache 2.0, self-hosting available)Yes (core engine on GitHub)
IntegrationsMCP server, LangChain, CrewAI, n8n, Claude, Cursor, Windsurf, Codex, OpenAI Agent BuilderLangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, S3, GCS, Supabase
Target UserDevelopers building multi-session AI assistantsAI agents and RAG pipelines needing live web data
Latest News Highlight2026-05-06: Production memory patterns; multi-tenant MCP support (2026-04-22)2026-03-05: Browser AI commands (Act, Extract, Observe); scraper catalog with 1,000+ examples (2026-02-25)

Mengram and Spider Cloud serve fundamentally different needs: one provides persistent memory for AI agents, the other live web data. If your priority is giving agents long-term recall across sessions, start with Mengram's free tier and scale up. If you need real-time web scraping with structured output for RAG, Spider Cloud is the clear choice thanks to its cheap per-page cost and extensive catalog. For most teams, you'll likely need both eventually.

Mengram
Mengram

Mengram is a self-hostable AI memory API that gives Claude, Cursor, Codex and ChatGPT one shared memory graph.

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping, crawling, and search API that streams live pages as markdown or JSON for AI agents and RAG pipelines.

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Pricing
Freemium
Freemium
Plans
$0/mo
$5/mo
$19/mo
$59/mo
$99/mo
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
6 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPIPluginCLIDesktop
WebAPIPluginCLIDesktop
Categories
🧠 Agent Memory & Runtimes
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
One-click memory connector for claude.ai and Claude Desktop — no terminal, no API key pasted
Claude Code plugin with SessionStart and Stop hooks that survive /clear and auto-compaction
MCP server exposing 30 memory tools for Claude Desktop, Cursor, Codex and Windsurf
Three memory types: semantic (facts), episodic (events) and procedural (workflows)
Procedural memory that auto-evolves workflow versions after failures, with version history and evolution log
Cognitive Profile generation: one API call returns a ready-to-use system prompt from all three memory types
Execution policy with per-version trust labels, a policy gate and a regression gate
Knowledge graph storing entities and relations, not just text chunks
Smart Triggers for reminders, contradiction alerts and workflow pattern detection
Autonomous memory agents: Curator (cleans contradictions), Connector (finds patterns), Digest (weekly briefs)
Multilingual retrieval across 23 languages via Cohere multilingual embeddings, including cross-lingual search
Import ChatGPT exports, Obsidian vaults and text files by CLI
Local mode: one command reads existing Claude Code session history with no account, key or upload
REST API, Python SDK and JavaScript SDK with webhooks
Per-user memory isolation via user_id for multi-tenant agent products
Scrape a single page into markdown, JSON, HTML, raw, or plain text
Crawl entire sites with each page streamed as one JSONL line in order as it finishes
Web search endpoint returns SERP results plus the scraped pages behind them
Custom browser renders like a user: scripts run, lazy images load, infinite scroll reaches the end
Load protected pages through a real browser engine with geo checks, returning a 200
Run full browser sessions over WebSocket with anti-detection and rotating exits
Send AI commands (Act, Extract, Observe) over the Browser API WebSocket
Send a prompt on a scrape or crawl request and get named fields back as JSON
Two-phase AI extraction: a fast model for most pages, a stronger model for complex layouts
Provider router sends scrape and crawl requests to outside providers on your own keys
Data connectors pipe crawl results into S3, GCS, Google Sheets, Azure Blob, or Supabase
Proxy network with 215M+ residential and ISP exits in 199 countries, rotated per request
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
1,000+ ready-made scraper examples across 32 categories, each with working code
API responses support JSON, JSONL, CSV, and XML; up to 10,000 core API requests per minute by default
Integrations
Claude
Claude Desktop
Claude Code
ChatGPT
Cursor
Codex
Windsurf
LangChain
CrewAI
Obsidian
LlamaIndex
FlowiseAI
Langflow
Dify
Agno
MCP
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Mengram vs Spider Cloud

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Mengram

34 mentions across 5 sources · 56% positive — mixed (averaged across 5 sources)

Hacker News, YouTube, Product Hunt, GitHub, Lemmy

What users praise

  • • Three memory types (semantic, episodic, procedural) are more human-like than flat vectors.
  • • Cognitive Profile generation makes personalization easy with one API call.
  • • Low latency (<50ms) for memory operations, as claimed in documentation.
  • • Multilingual support with 23 languages via Cohere embeddings is a standout feature.

What frustrates them

  • • MCP server returns Cloudflare 403 error for some users, breaking core functionality.
  • • Self-hosting documentation is unclear; version mismatches reported.
  • • Hard edge cases like contradictions and staleness lack built-in resolution.
  • • Very small community (183 stars, 20 issues) means limited support resources.

Researched Jul 6, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • Developer building a personal AI assistant with long-term memory
    Pick: Mengram

    Mengram's three memory types and Cognitive Profile give the assistant human-like recall across sessions, and its MCP server integrates with Claude Desktop, Cursor, and Windsurf.

  • AI agent engineer needing real-time web data for RAG
    Pick: Spider Cloud

    Spider Cloud's Rust engine, structured output, and 1,000+ scraper examples make it fast and reliable to feed fresh content into RAG pipelines.

  • Multi-agent system team wanting shared memory
    Pick: Mengram

    Mengram supports multi-tenant MCP servers with user_id isolation (announced 2026-04-22) and integrates with CrewAI persistent memory.

  • Startup building a web-scraping service for AI agents
    Pick: Spider Cloud

    Spider Cloud's competitive $0.03 per 1K pages, high success rate, and data connectors to S3/GCS/Supabase reduce infrastructure overhead.

Frequently Asked Questions

Mengram vs Spider Cloud: which should you choose?

Mengram and Spider Cloud serve fundamentally different needs: one provides persistent memory for AI agents, the other live web data. If your priority is giving agents long-term recall across sessions, start with Mengram's free tier and scale up. If you need real-time web scraping with structured output for RAG, Spider Cloud is the clear choice thanks to its cheap per-page cost and extensive catalog. For most teams, you'll likely need both eventually.

Can Mengram be used for web scraping?

No, Mengram is a memory layer for AI agents; it does not crawl or scrape web pages. For web data, pair it with Spider Cloud.

Does Spider Cloud provide persistent memory?

No, Spider Cloud focuses on data extraction and does not offer persistent memory across sessions. Use Mengram for memory needs.

Are both tools open-source?

Yes. Mengram is Apache 2.0 with self-hosting options. Spider Cloud's core engine is also available on GitHub.

Which tool is better for LangChain?

Both integrate with LangChain. Use Mengram for memory (via LangChain Retriever) and Spider Cloud for web data retrieval.

Does Mengram support multiple languages?

Yes, it uses Cohere multilingual embeddings to retrieve memories in 23 languages, addressing English-only bias (announced 2026-05-04).

Does Spider Cloud have anti-bot measures?

Yes, it offers a Browser Cloud with stealth anti-detection, rotating proxies, and automatic retries via its unblocker endpoint.

What are the free tier limits?

Mengram: 40 memory adds/month, no credit card needed. Spider Cloud: 500 pages/month. Both have no time limit.

Can I use both tools together?

Yes, they are complementary. Spider Cloud feeds fresh web data into AI agents, and Mengram remembers that data across sessions.

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Last reviewed: July 3, 2026