Attention Sinks vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionAttention SinksSpider Cloud
PricingFree, open-sourceFreemium, from $0.03/1k pages; AI Studio $6/mo add-on
Primary FunctionExtend LLM context window with constant memoryWeb crawling/scraping API for AI agents
Target UserDevelopers deploying long-running chatbots on limited hardwareDevelopers building RAG pipelines and AI agents
IntegrationHugging Face Transformers (drop-in)LangChain, LlamaIndex, CrewAI, etc.
Latest NewsNo direct product news; ecosystem updates onlyBrowser AI commands, scraper catalog, data connectors (2026)
Best ForInfinite chat without memory growthReal-time web data for AI agents

Spider Cloud and Attention Sinks solve completely different problems: one is a web scraping API for feeding live data into AI pipelines, the other is a library for extending LLM context windows with constant VRAM. Your choice depends on whether you need external data or longer conversations. If you're building a RAG agent that requires up-to-date web content, Spider Cloud is the obvious pick; if you're deploying a chatbot that needs to run indefinitely on limited hardware, Attention Sinks is the way to go.

Try Attention SinksTry Spider Cloud
Attention Sinks
Attention Sinks

Constant-memory, endless LLM chat with attention sinks

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Spider Cloud
Spider Cloud

AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.

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Pricing
Free
Freemium
Plans
—
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
2 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
—
WebAPICLI
Categories
📦 LLM App Frameworks & SDKs
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Drop-in replacement for Hugging Face Transformers AutoModel classes
Window attention with 4 attention sink tokens for constant memory usage
Supports Llama, Mistral, MPT, Falcon, and GPT-NeoX (Pythia) model families
Endless generation across hundreds of sequential prompts without fluency loss
No retraining required—works with any pretrained chat-style checkpoint
Configurable window size, default 1024 tokens, always retains 4 sink tokens
One-line code change from standard Transformers integration
Open-source Python package (attention_sinks) on PyPI/GitHub
Compatible with Hugging Face Transformers pipeline and AutoModelForCausalLM
Maintains stable perplexity even after millions of generated tokens
Reduces VRAM from linear to constant during multi-turn chat
Free to use with no licensing fees
Scrape any website into markdown, JSON, or raw HTML
Full-site crawling at 100K+ pages/sec
10,000 core API requests per minute default
Web Search API: SERP + scraping + extraction in one call
/ai/search endpoint with relevance gate to skip irrelevant pages
Silk AI model: HTML-to-structured data and captcha solving on GPUs
Browser Cloud: full browser sessions over CDP
AI commands (Act, Extract, Observe) via WebSocket with AI Studio
Multiple output formats: HTML, raw, plain text, markdown, JSON, JSONL, CSV, XML
Stealth browser layer and Unblocker for anti-bot sites
Proxy pool with 215M+ residential and ISP IPs across 199+ countries
Robots.txt compliance on by default, disable per-request
data_connectors parameter: pipe results to S3, GCS, Google Sheets, Azure Blob, Supabase
extraction_schema parameter: AI output conforms to JSON schema
1,000+ ready-made scraper examples across 32 categories
Integrations
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: Attention Sinks 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.

Attention Sinks

65 mentions across 4 sources · 51% positive — mixed

Hacker News, YouTube, GitHub, Lemmy

What users praise

  • • Constant memory usage regardless of conversation length — a real fix.
  • • Works with Llama 2, Mistral, MPT, Falcon, Pythia out of the box.
  • • No retraining needed — drop into any pretrained chat model.
  • • One-line code change from standard Transformers integration.

What frustrates them

  • • Breaks with recent transformers versions (KeyError, etc.).
  • • No Flash Attention support for Qwen models.
  • • Qwen models throw TypeError — limited architecture compatibility.
  • • GPTQ quantized models not supported.

Researched Sep 1, 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

  • RAG Pipeline Developer
    Pick: Spider Cloud

    Needs to fetch and structure up-to-date web content for LLM context; Spider Cloud provides direct integrations with LangChain and LlamaIndex, plus structured output formats.

  • LLM Memory Researcher
    Pick: Attention Sinks

    Studying efficient attention mechanisms requires experimentation with transformer internals; Attention Sinks is open-source and built on Hugging Face for easy modification.

  • Chatbot Developer (limited GPU)
    Pick: Attention Sinks

    Deploying a long-running chatbot on a single GPU needs constant memory; Attention Sinks enables endless generation without increasing VRAM usage.

  • AI Agent Builder
    Pick: Spider Cloud

    Agents need real-time web data via search endpoint and structured output; Spider Cloud's Browser AI commands and unblocker support dynamic web interactions.

  • Budget-Conscious Hobbyist
    Pick: Attention Sinks

    Zero cost and minimal setup; free library extends existing models without extra fees, perfect for personal projects.

Frequently Asked Questions

Attention Sinks vs Spider Cloud: which should you choose?

Spider Cloud and Attention Sinks solve completely different problems: one is a web scraping API for feeding live data into AI pipelines, the other is a library for extending LLM context windows with constant VRAM. Your choice depends on whether you need external data or longer conversations. If you're building a RAG agent that requires up-to-date web content, Spider Cloud is the obvious pick; if you're deploying a chatbot that needs to run indefinitely on limited hardware, Attention Sinks is the way to go.

What is the main difference between Spider Cloud and Attention Sinks?

Spider Cloud is a web crawling/scraping API for extracting data from websites, while Attention Sinks is a library for extending LLM context windows with constant memory. They solve different problems.

Can I use Spider Cloud to improve LLM memory?

No, Spider Cloud extracts external data. For LLM memory issues, use Attention Sinks.

Does Attention Sinks work with any LLM?

It supports Llama, Mistral, MPT, Falcon, and Pythia via Hugging Face Transformers.

What is the cost of Spider Cloud?

Usage-based starting at $0.03/1k pages, with AI Studio add-on at $6/mo. Failed requests are free.

Is Attention Sinks free?

Yes, it is open-source and completely free.

Does Spider Cloud integrate with LLM frameworks?

Yes, it integrates with LangChain, LlamaIndex, CrewAI, AutoGen, and more.

Can Attention Sinks be used in production?

Yes, but it is a library without official support; stability depends on the underlying model and infrastructure.

Which tool is better for a RAG application?

Spider Cloud, because it provides web data retrieval and structured output essential for RAG pipelines.

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Explore each tool further

Attention Sinks
View Attention Sinks reviewAttention Sinks alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI LLM App Frameworks & SDKs toolsBest AI Web Scraping & Search APIs toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 3, 2026