Athena Public vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionAthena PublicSpider Cloud
PurposeOS for AI agents with persistent memoryWeb scraping & crawling API for AI agents
Key FeaturePersistent memory, hybrid retrieval, 200+ protocolsRust engine, structured output, browser AI commands
IntegrationAny LLM (Claude, Gemini, GPT)LangChain, LlamaIndex, CrewAI, S3, GCS, etc.
Best ForLong-running agents needing persistent contextRAG pipelines needing real-time web data
Technical LevelCLI and developer toolAPI-first, developer-friendly

If you need to fetch and structure real-time web data for AI agents, Spider Cloud wins with its Rust engine, 99.9% uptime, and low per-page cost. If you need persistent memory and stateful reasoning across LLM sessions, Athena Public is the unique free choice. They solve completely different problems — choose based on whether your bottleneck is data ingestion or context retention.

Athena Public
Athena Public

A local-first agentic memory layer that gives any LLM persistent, editable project memory across sessions and IDEs.

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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.

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Pricing
Free
Freemium
Plans
$0/mo
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
2 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
CLI
WebAPIPluginCLIDesktop
Categories
🧠 Agent Memory & Runtimes🛡️ AI Governance & Guardrails
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Persistent memory across sessions via flat-file Markdown and Python scripts
Hybrid retrieval combining BM25, semantic vectors, and cross-encoder reranking
Reciprocal Rank Fusion hybrid search across seven retrieval channels
Write-back memory logging every decision via the /quicksave command
Context distillation and conflict resolution at session close via /end
v10.0.5 Core Identity loading and Project State sync at startup
200+ reusable protocols in the starter kit, 426 protocols total
Zero-Point Codex for core agent identity
Triple-Lock Protocol (Search, Save, Speak) for structured agent reasoning
Works with any LLM including Claude, Gemini, and GPT
Simulation mode runnable without API keys (simulation.py)
CLI session workflow: /start, /recall, /quicksave, /end
Operator dashboard tracking uptime, queries, and quicksaves locally
Path-triggered skill injection via MinMax token economy (80-98% context saved)
IDE-native memory layer for Antigravity, Cursor, and VS Code
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
VS Code
Cursor
Slack
WhatsApp
Telegram
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Athena Public 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.

Athena Public

15 mentions across 3 sources · 90% positive (averaged across 3 sources)

Hacker News, GitHub, Lemmy

What users praise

  • • Persistent memory across sessions via flat-file Markdown architecture — no context loss.
  • • Hybrid retrieval (BM25 + semantic) with RRF — relevant results every query.
  • • 200+ reusable protocols for debugging, shipping, ops — saves reinvention.
  • • Write-back memory logs every decision for full audibility.

What frustrates them

  • • Very small community means scarce support and few third-party examples.
  • • Documentation is thin on key protocols like Triple-Lock and Zero-Point Codex.
  • • Setup is not plug-and-play — requires comfort with Markdown and CLI.
  • • No native integrations with dev tools like Slack, Jira, or VS Code yet.

Researched Jul 3, 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

  • AI agent developer needing real-time web data for RAG
    Pick: Spider Cloud

    Spider Cloud provides fast crawling, structured output, and integrations with LangChain and LlamaIndex — ideal for feeding fresh data into RAG pipelines.

  • Developer building a long-running AI assistant with cross-session memory
    Pick: Athena Public

    Athena's persistent memory and hybrid retrieval ensure the assistant remembers context across sessions, and it works with any LLM.

  • Hobbyist wanting to scrape at low cost without monthly fees
    Pick: Spider Cloud

    Spider Cloud's freemium model charges only for successful pages, and the scraper catalog provides ready-made examples to get started quickly.

  • Team automating complex workflows with auditable state
    Pick: Athena Public

    Athena's flat-file Markdown architecture and write-back memory make all decisions auditable and portable — perfect for compliance and debugging.

Frequently Asked Questions

Athena Public vs Spider Cloud: which should you choose?

If you need to fetch and structure real-time web data for AI agents, Spider Cloud wins with its Rust engine, 99.9% uptime, and low per-page cost. If you need persistent memory and stateful reasoning across LLM sessions, Athena Public is the unique free choice. They solve completely different problems — choose based on whether your bottleneck is data ingestion or context retention.

Can Spider Cloud be used with Athena Public?

Yes. You can scrape data with Spider Cloud and feed the results into Athena's memory for persistent context.

Does Spider Cloud support real-time browser commands?

Yes. Its Browser API supports Act, Extract, and Observe commands over WebSocket, as announced in March 2026.

How does Athena persist memory?

Athena uses a flat-file Markdown architecture with hybrid retrieval (BM25 + semantic) and a write-back that logs every decision across sessions.

Which tool is better for non-technical users?

Neither. Both are developer tools. Spider Cloud is API-first, Athena is CLI-only.

Can I self-host either tool?

Spider Cloud is cloud-only but its core is open-source on GitHub. Athena Public is entirely self-hosted and free.

What integrations does Spider Cloud offer?

LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, S3, GCS, Google Sheets, Azure Blob, Supabase.

What is the Triple-Lock Protocol in Athena?

It ensures Search → Save → Speak: search memory first, save new info, then generate response.

Does Spider Cloud have a free tier?

Yes, it's freemium with per-page billing; failed requests are not charged.

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Last reviewed: July 3, 2026