Cognee vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Cognee | Spider Cloud |
|---|---|---|
| Pricing | Free open-source self-hosted; cloud paid (usage-based) | Free tier (500 creds); paid from $40/mo (5K creds); AI Studio add-on $6/mo |
| Primary Use Case | Persistent graph memory for AI agents | Web scraping & crawling for AI/LLM data ingestion |
| Data Handling | Stores and retrieves knowledge graphs with evidence references | Extracts structured data from web pages (Markdown, HTML, JSON, etc.) |
| Integration Style | API + MCP server; integrates with Claude Code, Cursor, LangGraph | API + SDK; integrates with LangChain, LlamaIndex, etc. |
| Latest Key Feature | Memory-native API (remember, recall, improve, forget) + Rust edge deployment | Browser AI commands (Act, Extract, Observe) via WebSocket |
| Best For | Persistent context for AI agents across sessions | Real-time web data for RAG pipelines |
If you need to fetch fresh web data for RAG or LLM agents, Spider Cloud is the clear choice with its cost-effective, high-success scraping API. If you need AI agents to remember past interactions and knowledge persistently across sessions, Cognee's graph memory platform is unmatched. Choose based on whether your pain point is data ingestion or memory retention.
Open-source graph memory platform that gives AI agents persistent, relationship-aware recall
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AI web scraping API that turns any site into markdown or JSON for AI agents, pay-as-you-go or flat-rate.
Visit WebsiteWhat real users say: Cognee 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.
Cognee
78 mentions across 6 sources · 58% positive — mixed
Hacker News, YouTube, Product Hunt, Bluesky, GitHub, Lemmy
What users praise
- • Open-source with no vendor lock-in and full data ownership
- • Graph-based memory architecture beyond simple vector search
- • Single Postgres backend simplifies infrastructure requirements
- • Memory-native API with clear verbs: remember, recall, improve, forget
What frustrates them
- • High latency: 30+ second query responses reported by users
- • Requires 2-3 LLM API calls per memory storage operation
- • Setup and integration complexity for non-experts
- • Small local LLMs can't reliably create knowledge graphs
Researched Jul 18, 2026
Spider Cloud
41 mentions across 2 sources · 10% positive — critical
YouTube, Lemmy
What users praise
- • One endpoint for scraping, crawling, search, and browser automation.
- • Converts sites to markdown, JSON, JSONL, CSV, XML—flexible outputs.
- • Rust engine and stealth browser claim strong anti-bot bypass.
- • Silk AI model handles captchas and HTML-to-structured data on GPUs.
What frustrates them
- • No real user reviews to validate performance or reliability.
- • Brand name confuses with Spider-Man, hurting discoverability.
- • Pricing details are vague—hidden costs may apply.
- • Learning curve for non-developers could be steep.
Researched Aug 18, 2026
Who should pick which
- Solo developer building a RAG chatbotPick: Spider Cloud
You need to scrape web pages to inject into your RAG pipeline. Spider Cloud's low cost per page and easy API integration make it ideal.
- Developer creating a coding agent with persistent contextPick: Cognee
Coding agents need to remember past work. Cognee's memory-native API and integrations with Claude Code/Cursor provide persistent, graph-based recall.
- Enterprise team requiring data governance and self-hostingPick: Cognee
Cognee's open-source + self-hosted option and single Postgres backend enable full data control and compliance.
- Data scientist needing up-to-date web data for model trainingPick: Spider Cloud
Spider Cloud's high success rate and structured output in multiple formats streamline data collection for training datasets.
- Product team shipping a vertical agent with domain-specific memoryPick: Cognee
Cognee's custom ontologies and temporal cognification let you tailor memory to specific domains and time-aware queries.
Frequently Asked Questions
Cognee vs Spider Cloud: which should you choose?
If you need to fetch fresh web data for RAG or LLM agents, Spider Cloud is the clear choice with its cost-effective, high-success scraping API. If you need AI agents to remember past interactions and knowledge persistently across sessions, Cognee's graph memory platform is unmatched. Choose based on whether your pain point is data ingestion or memory retention.
Can Spider Cloud be used for persistent memory?
No, Spider Cloud is for web data extraction. For persistent memory, you would need a tool like Cognee.
Can Cognee scrape web pages?
Cognee does not include web scraping. It focuses on memory and knowledge graph storage. Pair it with a scraper like Spider Cloud if you need to ingest web data.
Which tool is cheaper for a start-up?
Both offer free tiers. Spider Cloud's free 500 credits suffice for light scraping; Cognee's self-hosted version is free forever. For high volume, Spider Cloud's per-page cost is low but usage-based.
Do these tools integrate with LangChain?
Spider Cloud integrates with LangChain; Cognee does not list LangChain integration but is compatible via MCP.
Which tool has better performance for real-time data?
Spider Cloud is optimized for real-time web data retrieval with a Rust engine and high success rate. Cognee is about memory retrieval, not real-time web access.
Can I self-host both?
Both have open-source cores: Spider Cloud's open-source version is self-hostable; Cognee is fully open-source for self-hosting.
What are the latest major updates?
Spider Cloud recently launched Browser AI commands (Act, Extract, Observe) and a scraper catalog. Cognee released v1.0 with memory-native API and Rust edge deployment.
Which tool is better for enterprise governance?
Cognee, with open-source self-hosting, multi-tenant RBAC, and single Postgres backend, offers more control for enterprise data governance.
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Last reviewed: July 3, 2026