Glen 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

DimensionGlenSpider Cloud
Core FunctionOrganizational shared memory for agents & humansWeb crawling, scraping & AI data extraction
Target UserTeams running multiple MCP-compatible agents that need shared contextDevelopers building AI agents or RAG pipelines needing live web data
PricingFreemium, unlimited memory on Team planFreemium, pay as you go (avg $0.03/1k pages)
Key FeatureAuto-capture observations, provenance, RBAC, MCP integrationRust engine, AI Studio, Browser AI commands, 1k+ scraper catalog
IntegrationsClaude Code, Cursor, CodexLangChain, LlamaIndex, S3, GCS, Supabase
Latest NewsLaunched Jun 2026, shared memory for orgsBrowser AI commands (Act/Extract/Observe), scraper catalog

Spider Cloud and Glen solve completely different problems. Choose Spider Cloud if you need a fast, cost-effective web scraping API for feeding live data into AI agents or RAG pipelines. Choose Glen if your team runs multiple MCP-compatible coding agents (Claude Code, Cursor) and needs a shared memory layer to keep them consistent. They are complementary, not competitive.

Glen
Glen

Organizational memory that makes every AI agent work smarter on fewer tokens.

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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
Freemium
Freemium
Plans
$0/mo
$250/mo
$750/mo
Custom
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
3 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebPluginAPI
WebAPICLI
Categories
🧠 Agent Memory & Runtimes🔌 MCP Servers & Agent Tooling
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Continuous capture from Claude Code, Codex, and Cursor sessions
Ingests Slack, GitHub, tickets, calls, and docs
Automatic context injection into prompts
Company brain queryable from Slack, MCP, or web app
PR reviewer with why-any-line explanations
Skills distilled from team work, surfaced automatically
Shared transcript library with search and takeover
Provenance tracking on every observation
Observation-level RBAC for security
Private mode for sensitive conversations
MCP protocol integration for any MCP-compatible agent
Command line tool for full access
Web app included with account
Slack bot
Code search and clone query for agent context
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
Slack
GitHub
Claude Code
Codex
Cursor
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: Glen 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.

Glen

34 mentions across 2 sources · 5% positive — critical

Hacker News, Lemmy

What users praise

  • Org-wide shared memory eliminates silos between agents.
  • Automatic capture reduces manual documentation effort.
  • Provenance tracking shows who contributed each knowledge piece.
  • Observation-level RBAC provides granular access control.

What frustrates them

  • No real community feedback to validate claims.
  • Requires MCP-compatible agents (limited ecosystem).
  • Early access may have stability and feature gaps.
  • Automatic capture may bloat storage with noise.

Researched Jul 3, 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

  • Solo founder building an AI agent that answers questions from live web data
    Pick: Spider Cloud

    Spider Cloud provides fast scraping at low cost ($0.03/1k pages) and integrates with LangChain/LlamaIndex for RAG.

  • Engineering team running multiple Claude Code agents that need consistent context (e.g., coding conventions)
    Pick: Glen

    Glen automatically captures agent decisions and makes them available to all agents via MCP, ensuring consistency.

  • Developer needing to extract product data from hundreds of sites into Google Sheets
    Pick: Spider Cloud

    Spider Cloud supports data connectors to Google Sheets and has ready-made scraper examples for common sites.

  • Support team with multiple AI agents answering customer queries; wants consistent policy answers
    Pick: Glen

    Glen stores policy decisions and makes all agents answer consistently, with provenance and RBAC for compliance.

  • AI startup that needs both web data and shared memory for its agents
    Pick: Spider Cloud

    Use both: Spider Cloud for scraping, Glen for memory. They are complementary and can be integrated via API/plugins.

Frequently Asked Questions

Glen vs Spider Cloud: which should you choose?

Spider Cloud and Glen solve completely different problems. Choose Spider Cloud if you need a fast, cost-effective web scraping API for feeding live data into AI agents or RAG pipelines. Choose Glen if your team runs multiple MCP-compatible coding agents (Claude Code, Cursor) and needs a shared memory layer to keep them consistent. They are complementary, not competitive.

Can Spider Cloud handle JavaScript-heavy sites?

Yes, the Browser Cloud with stealth anti-detection renders JavaScript, and Browser AI commands (Act, Extract, Observe) provide AI-driven interaction.

Does Glen require my agents to be MCP-compatible?

Yes, Glen integrates via the MCP protocol, so it works with clients like Claude Code, Cursor, and Codex. For non-MCP agents, custom integration may be needed.

Is Spider Cloud suitable for large-scale scraping (millions of pages)?

Yes, it uses a Rust engine for performance and offers rotating proxies. Failed requests are free, and cost is $0.03/1k pages, making it cost-effective at scale.

Can I self-host Spider Cloud?

Yes, there is an open-source core available on GitHub for self-hosting, in addition to the cloud service.

What kind of knowledge does Glen capture automatically?

It captures observations from agent interactions: decisions, processes, preferences, and facts. This happens automatically without manual input.

Does Spider Cloud support image extraction?

Yes, it supports screenshot capture and can extract data from pages, though primarily focused on text content.

Does Glen offer audit trails for compliance?

Yes, the Scale+ plan includes audit logs and access reviews, along with SAML SSO for enterprise compliance.

Can I try both products for free?

Both offer freemium tiers. Spider Cloud has a free tier with limited usage; Glen's free tier is available but may require joining a waitlist.

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Last reviewed: July 3, 2026