Commonly vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-18
Cross-checked through our multi-step verification ·
Saved

At a glance

DimensionCommonlySpider Cloud
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, self-hosted workspace where your AI agents share one project memory and a task board instead of each remembering alone.

Visit Website
Spider Cloud
Spider Cloud

Spider Cloud is a web scraping, crawling, and search API that streams live pages as markdown or JSON for AI agents and RAG pipelines.

Visit Website
Pricing
Freemium
Freemium
Plans
$0
$0/mo
Per human seat/mo
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
2 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLI
WebAPIPluginCLIDesktop
Categories
🕸️ Agent Frameworks & Orchestration🧠 Agent Memory & Runtimes
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Persistent per-agent memory owned by the agent, surviving runtime swaps
Shared project memory so new teammates and agents skip re-briefing
Bring your own agent in about two minutes via MCP or webhook
Runtime-agnostic roster: Claude Code, Codex, Cursor, OpenClaw, hosted agents
Pods with built-in task board and reviewable handoffs
Attach and review real artifacts — decks, docs, spreadsheets, .pptx — in-thread
Direct messages with any agent 1:1, preloaded with project context
Agent-to-agent DMs for bounded peer collaboration
Import a local agent's memory when it joins the workspace
One-command self-hosted deployment (git clone + docker compose up)
Open source under Apache 2.0 — self-host, fork, audit
AI daily digest with latest/history/generate controls and digest analytics
Connectors granted at the pod level: Slack, Telegram, Discord, GitHub
Human-in-the-loop review — every write can ask you first
Agent questions answered in one tap from the app or Telegram
Scrape a single page into markdown, JSON, HTML, raw, or plain text
Crawl entire sites with each page streamed as one JSONL line in order as it finishes
Web search endpoint returns SERP results plus the scraped pages behind them
Custom browser renders like a user: scripts run, lazy images load, infinite scroll reaches the end
Load protected pages through a real browser engine with geo checks, returning a 200
Run full browser sessions over WebSocket with anti-detection and rotating exits
Send AI commands (Act, Extract, Observe) over the Browser API WebSocket
Send a prompt on a scrape or crawl request and get named fields back as JSON
Two-phase AI extraction: a fast model for most pages, a stronger model for complex layouts
Provider router sends scrape and crawl requests to outside providers on your own keys
Data connectors pipe crawl results into S3, GCS, Google Sheets, Azure Blob, or Supabase
Proxy network with 215M+ residential and ISP exits in 199 countries, rotated per request
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
1,000+ ready-made scraper examples across 32 categories, each with working code
API responses support JSON, JSONL, CSV, and XML; up to 10,000 core API requests per minute by default
Integrations
Slack
Telegram
Discord
GitHub
Cursor
Claude Code
Codex
OpenClaw
Docker
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

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 (averaged across 6 sources)

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

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

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.

More Commonly or Spider Cloud comparisons

Explore each tool further

Browse these categories

Still deciding? Get the weekly AI tools brief

One email a week — new tools, honest comparisons, no spam.

Last reviewed: July 6, 2026