Agentmemory vs Spider Cloud

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

Live tool data as of 2026-07-17
Reviewed by our team on
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At a glance

DimensionAgentmemorySpider Cloud
Pricingfreefreemium · from Free Credits on Signup $0
Best forDevelopers using Claude Code who need persistent memory across sessions, Teams working on large codebases where agents lose contextAI agents needing real-time web data for RAG, RAG pipelines requiring up-to-date content from the web
Standout features12 auto-capture hooks for agent tool calls, prompts, stops · Triple-stream retrieval: BM25 + vector + knowledge graph · On-device reranker achieving 95.2% R@5 recall on LongMemEval-SWeb crawling and scraping API with Rust engine · AI Studio add-on for natural language crawling ($6/mo) · Browser AI commands via WebSocket: Act, Extract, Observe
Viability score87/10088/100
APIYesYes

Agentmemory is the stronger pick for developers using claude code who need persistent memory across sessions; Spider Cloud fits better for ai agents needing real-time web data for rag.

Built from live tool data, last verified 2026-07-17.

Agentmemory
Agentmemory

Open-source persistent memory runtime for AI coding agents with 95.2% recall

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Spider Cloud
Spider Cloud

Fast web crawling, scraping & search API for AI agents

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Pricing
Free
Freemium
Plans
Free
$0
$5
$25
$50
$100
$500 (+5% bonus)
$2,000 (+12% bonus)
$350/mo
Popularity
1 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLIPluginAPI
WebAPI
Categories
💻 Code & Development⚙️ Developer Infrastructure
⚙️ Developer Infrastructure
Features
12 auto-capture hooks for agent tool calls, prompts, stops
Triple-stream retrieval: BM25 + vector + knowledge graph
On-device reranker achieving 95.2% R@5 recall on LongMemEval-S
~92% token reduction vs full-context approaches
Hourly consolidation: compress, merge duplicates, decay stale
53 MCP tools for memory operations
128 REST endpoints mirroring MCP surface
Graph extraction and knowledge graph visualization
Mesh federation: peer-to-peer sync over authenticated HTTPS
Markdown Obsidian export with frontmatter tags
OTEL observability with spans and logs (Jaeger, Honeycomb, Tempo)
JSONL session import from Claude Code transcripts
Supports 5 LLM providers (Claude, Anthropic, Gemini, MiniMax, OpenRouter)
Zero external databases: runs on local SQLite/JSON
Real-time viewer on port 3113 and engine console on port 3114
Web crawling and scraping API with Rust engine
AI Studio add-on for natural language crawling ($6/mo)
Browser AI commands via WebSocket: Act, Extract, Observe
Silk custom AI model for extraction and captcha solving
Browser Cloud with stealth anti-detection for heavily protected sites
Structured output: markdown (GitHub, plain), HTML, JSON, JSONL, CSV, XML, plain text
Screenshot capture of pages
Link extraction from pages
Search endpoint for query-based data retrieval
Unblocker with rotating proxies and automatic retries
1,000+ ready-made scraper examples across 32 categories
Data connectors: S3, GCS, Google Sheets, Azure Blob, Supabase
Respects robots.txt (configurable)
Failed requests not billed
Open-source core available on GitHub
Integrations
Claude Code
Cursor
GitHub Copilot
Codex CLI
Gemini CLI
Cline
OpenRouter
Anthropic API
Gemini
MiniMax
Obsidian
Jaeger
Honeycomb
Tempo
OpenClaw
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno
Google Cloud Storage
Amazon S3
Supabase
Azure Blob
Google Sheets
Dify
OpenAI
Anthropic
MCP

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

Which is better, Agentmemory or Spider Cloud?

The best choice between Agentmemory and Spider Cloud depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Agentmemory and Spider Cloud?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Agentmemory or Spider Cloud?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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