Agentmemory 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

DimensionAgentmemorySpider Cloud
Core FunctionPersistent memory for AI coding agentsWeb crawling and scraping API for AI
PricingFree (open-source, self-hosted)Freemium (pay-per-page)
Best ForCoding agents needing long-term context across sessionsRAG pipelines needing live web data
Latest NewsMoving from toy demos to production infrastructureAdded Browser AI commands and scraper catalog
IntegrationClaude Code, Cursor, Copilot, Obsidian, 53 MCP toolsLangChain, LlamaIndex, CrewAI, S3, GCS, Supabase

Choose Agentmemory if you need persistent memory for coding agents across sessions, especially with Claude Code or MCP tools. Choose Spider Cloud if your AI agents or RAG pipelines require real-time web data at low cost. Both are free-tier accessible but solve opposite problems: memory vs. retrieval.

Agentmemory
Agentmemory

Open-source memory runtime that gives coding agents persistent recall between sessions, stored on your machine.

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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
27 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLIPluginAPI
WebAPIPluginCLIDesktop
Categories
🧠 Agent Memory & Runtimes🔌 MCP Servers & Agent Tooling
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Auto-capture hooks fire on prompts and tool calls into a local server on 127.0.0.1:3111
Restart-safe capture: events spool to disk if the server is down (v0.9.30)
Dual indexing: BM25 terms for exact words plus local vectors for meaning
Local embeddings that work with no API key
Session-end consolidation collapses related observations into one linked memory
Hybrid recall in 14 ms median over BM25, local vectors and the knowledge graph
95.2% recall@5 on LongMemEval-S (vendor-run benchmark)
About 92% fewer input tokens than pasting full history into context
PreCompact hook re-injects memory when the agent compacts its context window
REST API now requires auth by default (v0.9.30)
Import existing Claude Code JSONL transcripts to backfill memory
Shared local memory server across Claude Code, Cursor, Codex and other agents
Obsidian export as frontmatter-tagged markdown
Mesh federation between machines over authenticated links
Vectors survive force-kill (v0.9.30 durability release)
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
Claude Code
Cursor
Codex
OpenClaw
OpenCode
Hermes
Obsidian
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Agentmemory 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.

Agentmemory

60 mentions across 6 sources · 61% positive — mixed (averaged across 6 sources)

Hacker News, YouTube, Product Hunt, Bluesky, GitHub, Lemmy

What users praise

  • • Free and open-source (MIT) with no external databases required.
  • • Excellent benchmark: 95.2% recall on LongMemEval-S.
  • • Triple-stream retrieval (BM25, vector, knowledge graph) is unique and effective.
  • • Works with 10+ coding agents via MCP and REST.

What frustrates them

  • • Crashes under large datasets (370K+ observations reported).
  • • Some early adopters retracted after production use.
  • • Tier 1 cap may limit truly infinite memory scenarios.
  • • Manual pruning needed for contradictory or stale memories.

Researched Jul 6, 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

  • Solo developer using Claude Code
    Pick: Agentmemory

    Agentmemory integrates directly with Claude Code via MCP, providing persistent memory across sessions, capturing every edit and decision.

  • RAG pipeline builder needing live web data
    Pick: Spider Cloud

    Spider Cloud's low-cost, high-reliability crawling API is ideal for feeding fresh web content into RAG systems, with direct LangChain/LlamaIndex integrations.

  • Open-source team building autonomous agents
    Pick: Agentmemory

    Agentmemory is fully free, self-hosted, and with MCP support, it's perfect for agents that need to remember past actions across long workflows.

  • Developer needing structured web data extraction
    Pick: Spider Cloud

    Spider Cloud's Browser AI commands and structured output simplify extracting data from complex sites at scale.

Frequently Asked Questions

Agentmemory vs Spider Cloud: which should you choose?

Choose Agentmemory if you need persistent memory for coding agents across sessions, especially with Claude Code or MCP tools. Choose Spider Cloud if your AI agents or RAG pipelines require real-time web data at low cost. Both are free-tier accessible but solve opposite problems: memory vs. retrieval.

Can Agentmemory be used with tools other than coding agents?

Yes, its 53 MCP tools and 128 REST endpoints allow integration with any MCP-compatible or HTTP-based system.

Does Spider Cloud have a free tier?

Yes, it offers a freemium model with a limited number of free pages per month. Check the pricing page for current limits.

Which tool is better for a Claude Code project?

Agentmemory is purpose-built for Claude Code and other MCP agents, providing seamless persistent memory.

Can Spider Cloud handle JavaScript-heavy sites?

Yes, it uses a browser cloud with stealth anti-detection and can execute JavaScript, but aggressive anti-bot measures may require the AI Unblocker.

Are both tools open-source?

Agentmemory is fully open-source. Spider Cloud has an open-source core on GitHub, but the cloud API is a paid service.

What is the latest news on Agentmemory?

As of June 2026, it's transitioning from demo to production-grade infrastructure, with discussions on Universal Memory Protocol.

What is the latest news on Spider Cloud?

Recent additions include Browser AI commands (Act, Extract, Observe), a scraper catalog with 1,000+ examples, and data connectors.

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Last reviewed: July 3, 2026