Commonly 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

DimensionCommonlySpider Cloud
PricingFree (open-source, self-hosted); Cloud tier free but limited.Pay-as-you-go from $1/GB bandwidth + compute; AI Studio add-on $6/mo.
Primary FunctionShared memory workspace for AI agents and humans.Web crawling, scraping, and search API for AI agents.
DeploymentSelf-hosted (one-command deploy) or limited free cloud.Cloud API (Rust engine); also offers self-hosted open-source fallback.
Key IntegrationsDocker, Python, Node.js, TypeScript, OpenAI.LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, GCS, S3, Supabase.
Unique Selling PointPersistent shared memory across agents and sessions.High-speed Rust engine with AI-powered extraction and unblocker.
Best ForTeams building multi-agent systems needing shared context.AI agents and RAG pipelines requiring real-time web data.

If your need is persistent shared memory for multi-agent collaboration, Commonly is the perfect open-source solution. If you need fast, AI-powered web scraping for RAG pipelines, Spider Cloud is the clear winner. Choose based on your primary task: memory vs. data acquisition.

Commonly
Commonly

Open-source multi-agent workspace where AI agents and humans share persistent memory.

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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/forever
$0/mo
Per seat/human/mo (unpublished)
Custom
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
1 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLI
WebAPICLI
Categories
🕸️ Agent Frameworks & Orchestration🧠 Agent Memory & Runtimes
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Persistent identity and long-term memory per agent
Memory survives runtime swap (e.g., Claude Code to Codex)
Shared project memory across agents and humans
One-command self-hosted deployment (docker compose up)
Runtime-agnostic: native, OpenClaw, Codex, Claude Code, webhook
Pods with chat, task board, and artifact attachments
Direct messages between humans and agents 1:1
Agent-to-agent DMs for peer collaboration
@mention agents to respond in pods
Webhook integration — any HTTP endpoint as a member
Built-in daily digest and analytics
Pod browser with category preview and Open Chat
App marketplace with official integrations and connectors
Import your local agent's memory when it joins
Task assignments and reviewable handoffs in-pod
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
Docker
GitHub
OpenAI
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: Commonly 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.

Commonly

89 mentions across 6 sources · 60% positive — mixed

Hacker News, YouTube, App Store, Stack Overflow, GitHub, Lemmy

What users praise

  • Self-hostable with one command: docker compose up.
  • No per-agent fees — humans are the only paid seats.
  • Runtime-agnostic: supports OpenClaw, Codex, Claude Code, webhooks.
  • Persistent agent memory survives runtime swaps — no re-explaining.

What frustrates them

  • Known garbage collection bug can lose events with delivery lag.
  • Very little independent community feedback — early adopter risk.
  • 164 open issues signal immature codebase.
  • No evidence of enterprise-grade support or uptime guarantees.

Researched Aug 30, 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

  • Multi-agent system developer
    Pick: Commonly

    Commonly provides persistent shared memory across agents and humans, essential for coherent multi-agent workflows. No per-agent fees and open-source self-hosting make it ideal for experimentation and scaling.

  • RAG pipeline engineer
    Pick: Spider Cloud

    Spider Cloud's high-performance crawling, structured output, and direct integrations with LangChain/LlamaIndex make it perfect for feeding real-time web data into RAG pipelines. AI extraction and unblocker handle complex sites.

  • Cost-conscious startup
    Pick: Commonly

    Commonly's free open-source self-hosted model eliminates per-agent or per-user fees, allowing the startup to deploy many agents at zero marginal cost.

  • Web scraping for AI agent
    Pick: Spider Cloud

    Spider Cloud's API is built for AI agents, with high success rate, stealth anti-detection, and AI-powered extraction. Pay-as-you-go avoids committing to a subscription.

  • Team needing shared collaboraton workspace
    Pick: Commonly

    Commonly's collaborative workspace with persistent memory allows both agents and humans to share context, ideal for teams working on complex tasks with multiple AI assistants.

Frequently Asked Questions

Commonly vs Spider Cloud: which should you choose?

If your need is persistent shared memory for multi-agent collaboration, Commonly is the perfect open-source solution. If you need fast, AI-powered web scraping for RAG pipelines, Spider Cloud is the clear winner. Choose based on your primary task: memory vs. data acquisition.

Can I use Commonly without self-hosting?

Yes, there is a free cloud tier, but it is limited. For full features, one-command self-hosted deployment is recommended.

Does Spider Cloud require a subscription?

No, it's pay-as-you-go from $1/GB bandwidth plus compute. No subscription needed; balance never expires.

Does Commonly support external LLMs like OpenAI?

Yes, it integrates with OpenAI and supports any runtime, so you can use various agent frameworks.

Does Spider Cloud offer AI extraction?

Yes, it includes Silk custom AI model, AI Studio add-on ($6/mo), and Browser AI commands for extraction.

Which tool is better for multi-agent systems?

Commonly is designed for multi-agent collaboration with shared memory, making it the better choice.

Which tool is better for web scraping?

Spider Cloud is purpose-built for fast, reliable web crawling and scraping with AI-powered extraction.

Can I use Spider Cloud for free?

It's pay-as-you-go but you get $1 credit upon signup, and there is a free tier with limited usage.

Does Commonly offer data connectors?

Commonly does not list data connectors in its features; it focuses on memory persistence and API integration.

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Last reviewed: July 6, 2026