Mengram vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Mengram | Spider Cloud |
|---|---|---|
| Pricing | Free tier: 40 memory adds/mo; paid from $20/mo | Free tier: 500 pages/mo; paid from $49/mo |
| Core Function | Persistent AI agent memory (semantic, episodic, procedural) | Web crawling, scraping, and search API |
| Open Source | Yes (Apache 2.0, self-hosting available) | Yes (core engine on GitHub) |
| Integrations | MCP server, LangChain, CrewAI, n8n, Claude, Cursor, Windsurf, Codex, OpenAI Agent Builder | LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, S3, GCS, Supabase |
| Target User | Developers building multi-session AI assistants | AI agents and RAG pipelines needing live web data |
| Latest News Highlight | 2026-05-06: 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.
AI memory API: persistent, cross-tool memory for Claude, Cursor, and Codex agents
Visit Website
AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.
Visit WebsiteWhat 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
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
41 mentions across 2 sources · 0% positive — critical
YouTube, Lemmy
What users praise
- • Competitive pay-as-you-go pricing at $1/GB with no expiry.
- • Default rate limit of 10,000 requests per minute is generous.
- • Broad output formats (HTML, markdown, JSON, CSV) cover diverse needs.
- • Integrated Web Search API bundles SERP and extraction for AI agents.
What frustrates them
- • No community feedback to confirm reliability or performance.
- • Self-reported metrics lack independent verification.
- • Stealth browser success may vary across real sites.
- • Potential legal risks from scraping; compliance is user's responsibility.
Researched Aug 26, 2026
Who should pick which
- Developer building a personal AI assistant with long-term memoryPick: 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 RAGPick: 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 memoryPick: 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 agentsPick: 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