Agentmemory 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

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
Key FeatureTriple-stream retrieval (BM25 + vector + KG), 95.2% recallRust engine, 99.9% uptime, $0.03/1k pages
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 persistent memory runtime for AI coding agents — zero external databases.

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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
Free
Freemium
Plans
$0/mo
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
14 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLIPluginAPI
WebAPICLI
Categories
🧠 Agent Memory & Runtimes🔌 MCP Servers & Agent Tooling
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
12 auto-hooks capture session start, prompt, tool call, and stop
Hybrid recall: BM25 + vector + knowledge graph with on-device reranking
95.2% R@5 recall on LongMemEval-S benchmark
Sub-20ms P50 latency on a laptop
92% fewer input tokens per session
54 MCP tools (memory_save, memory_recall, memory_smart_search, etc.)
130 REST endpoints under /agentmemory/*
Hourly consolidation sweeps: compress, merge duplicates, decay stale rows, emit audit rows
Knowledge graph extraction with temporal edges
Mesh federation: peer-to-peer sync over authenticated HTTPS
Obsidian export with frontmatter-tagged markdown
JSONL session import (Claude Code transcripts) for replay and crystal extraction
OTEL observability with traces and logs (Jaeger/Honeycomb/Tempo export)
Runs as single Node.js process, zero external databases (no Redis, Kafka, Postgres)
Real-time viewer on port 3113 and engine console on port 3114
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
Claude Code
Copilot CLI
Codex CLI
OpenClaw
Hermes
pi
Cursor
OpenCode
Claude Desktop
OpenHuman
Warp
Continue
Cline
Zed
Gemini CLI
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

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

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

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 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