Mnemosyne vs Spider Cloud

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

Analysis generated Live tool data as of 2026-10-30
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Mnemosyne or Spider Cloud: which should you choose?

DimensionMnemosyneSpider Cloud
What it isLocal-first SQLite memory layer for agentsHosted web scraping, crawling and search API
Pricing modelFreeFreemium (requests metered; proxies/AI extraction and Unlimited geo bill separately)
DeploymentRuns on your machine — pure Python + SQLite, zero external deps beyond stdlib and ONNXSpider's cloud browsers + 215M+ proxy exits, 199 countries
Killer capabilitySub-millisecond recall via direct SQLite access, no HTTP roundtripsRendered pages as markdown/JSON, streaming site crawls, unblocker + CAPTCHA handling
SearchHybrid ranking: 50% vector (sqlite-vec), 30% FTS5 full-text, 20% importanceWeb search endpoint returns SERP results + scraped pages + AI extraction in one call
Agent plumbingMCP; Hermes Agent, Claude Code, Cursor, Codex, OpenWebUI, OpenClawMCP at mcp.spider.cloud; LangChain, LlamaIndex, CrewAI, Claude Code, Codex, Cursor
Mnemosyne
Mnemosyne

Local-first AI agent memory in one pip install: SQLite-backed recall with sub-millisecond queries and no cloud account.

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Spider Cloud
Spider Cloud

Spider Cloud is a scraping, crawling, and web search API that returns clean markdown or JSON for AI agents and RAG pipelines.

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Pricing
Free
Paid
Plans
FreeFree
Pay as you go$1/GB
AI Studio AlphaFrom $6/mo
UnlimitedFrom $40/mo
EnterpriseCustom
Popularity
33 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
APICLI
WebAPIPlugin
Categories
🧠 Agent Memory & Runtimes🗄️ Vector Databases & Retrieval
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Sub-millisecond query latency via direct SQLite access, no HTTP roundtrips
100% local and private — no telemetry, no data leaves your device
Native vector search through built-in sqlite-vec integration
Full-text search with SQLite FTS5 (5ms at 1K entries)
Hybrid ranking: 50% vector, 30% full-text, 20% importance
BEAM three-tier memory: working_memory, episodic_memory, scratchpad
Automatic consolidation of old memories via configurable auto_sleep cycles
Streaming results and DeltaSync for real-time incremental updates
Smart filtering with ignore_patterns to block noisy content
Offline support — works in airplane mode with zero external services
MCP (Model Context Protocol) support for agent hosts
Python SDK with remember / recall / beam.sleep API
Temporal triples with native validity tracking
Export and import memory as a single JSON file
Interactive browser demo (client-side simulation, zero LLM calls)
Scrape a page into markdown, JSON, HTML, raw, or plain text
Crawl whole sites with each page streamed as one JSONL line in order
Web search endpoint returns SERP results plus the scraped pages behind them
Browser rendering runs scripts, loads lazy images, and reaches infinite scroll
Load protected pages through Spider's native browser engine with geo checks, returning 200
Full browser sessions over WebSocket at browser.spider.cloud
Provider router runs scrape and crawl requests on outside providers with your own keys
Prompt-based extraction returns named fields as JSON on scrape or crawl
Two-phase AI extraction: fast model for most pages, stronger for complex layouts
Data connectors stream crawl output to S3, GCS, Google Sheets, Azure Blob, or Supabase
Residential and ISP proxy pool with 215M+ exits in 199 countries
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
CLI that picks HTTP or a browser per page and stops at your budget
1,000+ scraper examples with working code
API responses in JSON, JSONL, CSV, and XML
Integrations
Hermes Agent
Claude Code
Cursor
Codex
OpenWebUI
OpenClaw
MCP
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets
Azure Blob Storage

How do Mnemosyne and Spider Cloud compare feature by feature?

Spider Cloud is infrastructure for getting data off the open web. The renderer executes scripts, loads lazy images and runs infinite scroll, so you get the page a human sees; an unblocker absorbs bot walls, CAPTCHAs and geo checks with stealth and retries, and the hardest targets route to browser.spider.cloud where full browser sessions run with anti-detection and CAPTCHA solving on by default. Output comes back as markdown, JSON, HTML, raw or plain text; crawls stream pages as JSONL in completion order; and the search endpoint bundles SERP results, scraped pages and AI extraction into a single call. There's a 215M+ residential/ISP proxy pool across 199 countries rotated per request, an Acts/Extract/Observe command channel over the Browser API WebSocket, and a provider router (new, rolling out) that sends scrape or crawl requests to outside providers on your own keys. Mnemosyne solves a different problem: keeping an agent's context on-device. Memory is split into working_memory (auto-injected hot context), episodic_memory (long-term via sqlite-vec and FTS5) and a scratchpad; sleep cycles consolidate aging working memory into episodic storage, DeltaSync streams incremental updates, and ignore_patterns filters noise. It's pure Python with no deps beyond stdlib and ONNX, offline-capable, telemetry-free, and reaches sub-millisecond recall because queries hit SQLite directly instead of an HTTP roundtrip.

Which is cheaper, Mnemosyne or Spider Cloud?

The pricing structures are essentially incommensurable. Spider Cloud is freemium: base request pricing is metered, and two things people wrongly assume are included bill separately — residential/ISP proxy pools and AI extraction. That distinction matters most at the Unlimited tier, which wins on flat-rate concurrency for high-throughput crawls but currently doesn't offer geo-targeting, so geo-fenced work has to stay on pay-as-you-go. Unlimited also queues nothing server-side, so you must handle HTTP 429s and back off yourself. Recent September 2026 comparison coverage put Spider against ZenRows, ScrapingBee, Apify and Firecrawl on credit multipliers and cost at 100,000 pages, which is the right way to model it: estimate your proxy and extraction share of the bill before committing. Mnemosyne costs nothing. It's free and local — no API keys, no signup, no credit system, no rate limits — and its stated appeal includes migrating off Mem0, Zep or Honcho to escape exactly those metered models. The trade is that everything you'd pay a vendor for is now yours to run: no cloud sync, no managed hosting or dashboards, no auto-scaling, no built-in auth, no GPU-accelerated vectors, and no SOC 2 or vendor SLA. In practice you'd likely pay for Spider and install Mnemosyne for free alongside it.

Who should pick Mnemosyne, and who should pick Spider Cloud?

  • RAG engineer ingesting documentation sites
    Pick: Spider Cloud

    Streaming JSONL crawls plus rendered-to-markdown output feed a retrieval pipeline directly, and the unblocker handles protected sources without custom code.

  • Agent builder on a single machine
    Pick: Mnemosyne

    Free, offline, telemetry-free memory with sub-millisecond SQLite recall and MCP support — no keys, signup or cloud bill to manage.

  • Privacy-constrained team (no external API calls)
    Pick: Mnemosyne

    Everything stays on-device with no telemetry, and it works in airplane mode — but plan around the missing SOC 2, auth and cloud sync.

  • Team wiring web access into Claude Code or Cursor
    Pick: Spider Cloud

    MCP at mcp.spider.cloud plus the spider-agent CLI and SKILL.md let a coding agent self-onboard against the whole API with minimal glue.

  • High-volume crawler fighting per-request billing
    Pick: Spider Cloud

    Flat-rate Unlimited concurrency beats metered pricing at scale — just handle 429 backoff yourself and keep geo-fenced jobs on pay as you go.

Frequently Asked Questions

Can I use Spider Cloud and Mnemosyne together?

Yes, and it's a sensible split: Spider fetches and renders live pages while Mnemosyne stores and recalls what your agent learned, locally. Each exposes MCP, so both can sit behind the same client.

Does Spider Cloud include proxies and AI extraction in the base price?

No. Residential/ISP proxy pools and AI extraction bill separately from base request pricing — the most common budgeting mistake with this API.

Is Mnemosyne really free with no catch?

It's free, local and open-ended on rate limits, but you supply the infrastructure and operational maturity: no managed hosting, dashboards, auto-scaling, built-in auth, GPU-accelerated vectors, SOC 2 or vendor SLA.

Which one has a vendor SLA?

Mnemosyne explicitly does not offer one. Spider Cloud is a commercial API, but the provided data doesn't state SLA terms for it — ask the vendor directly.

What is the provider router in Spider Cloud?

A newer object in scrape and crawl request bodies that lets you route individual URLs to outside providers using your own keys. It's rolling out, so confirm access before designing around it.

Can Mnemosyne sync memory across my laptop and server?

Not natively — cloud sync and multi-device memory are listed as out of scope. You'd build that yourself or choose a hosted memory service instead.

Which should a non-technical buyer pick?

Neither. Spider Cloud targets developers building pipelines, and Mnemosyne installs via pip and runs in Python — if you want a point-and-click scraper or a managed memory product, look elsewhere.

What else are Mnemosyne and Spider Cloud compared with?

Where can you read more about Mnemosyne and Spider Cloud?

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