Glen vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Glen | Spider Cloud |
|---|---|---|
| Core Function | Organizational shared memory for agents & humans | Web crawling, scraping & AI data extraction |
| Target User | Teams running multiple MCP-compatible agents that need shared context | Developers building AI agents or RAG pipelines needing live web data |
| Pricing | Freemium, unlimited memory on Team plan | Freemium, pay as you go (avg $0.03/1k pages) |
| Key Feature | Auto-capture observations, provenance, RBAC, MCP integration | Rust engine, AI Studio, Browser AI commands, 1k+ scraper catalog |
| Integrations | Claude Code, Cursor, Codex | LangChain, LlamaIndex, S3, GCS, Supabase |
| Latest News | Launched Jun 2026, shared memory for orgs | Browser 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.

AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.
Visit WebsiteWhat 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 dataPick: 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 SheetsPick: 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 answersPick: 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 agentsPick: 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
