Tutorials

Step-by-step guides and hands-on tutorials to help you get started with cognee, build AI agents, and implement advanced features in your projects.

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IntegrationsJun 1, 2026

Cut Cognee's Vector Memory by 8x with Qdrant's TurboQuant

Use Qdrant TurboQuant in cognee with one env var to shrink stored vectors by about 8x without retraining, codebooks, or per-dataset tuning.
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FundamentalsMay 31, 2026

Long Term Memory AI: Why Your Agent Keeps Forgetting

Long term memory AI is more than chat history or larger context windows. Learn what agents should keep, retrieve, update, and forget.
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Deep DivesMay 6, 2026

Separate memories for organization, agent and user: Support AI Agent Use-Case

Most support teams don't have a support problem — they have a context problem. Here's how we built a support agent on top of cognee using user, agent, and organization memory.
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Deep DivesApr 28, 2026

Memory as a Decorator

Adding memory to agentic workflows used to mean restructuring your stack. One decorator changes that. We ran 198 simulated sales conversations — and the results make a strong case for structured memory.
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Deep DivesApr 21, 2026

Cognee's CLI Replaces MCP OAuth in 100 Lines

MCP has real auth built in. CLI doesn't — or so the claim goes. The Claude Code plugin that wraps cognee-cli runs a full register-login-token handshake before the first command fires.
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Deep DivesApr 14, 2026

Agents Don't Need Another Protocol. They Need a Good CLI.

Your agent forgets everything between sessions. The fix isn't a bigger context window — it's persistent memory via a CLI. Four commands give your agent cross-session, graph-structured memory.
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Cognee NewsApr 1, 2026

Claude Code's Leak Reveals Anthropic's Obsession with Cognee

Anthropic accidentally exposed 500,000 lines of internal source code. Buried inside: engineers studying Cognee's memory architecture and wondering if they should just adopt it.
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Deep DivesMar 26, 2026

Expanding Custom Graph Models for Reliable Agent Memory & Retrieval

Learn how Custom Graph Models in cognee create a stable, domain-aware memory layer for agents — and how the Cascade feature progressively discovers missing schema from real data.
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Deep DivesMar 24, 2026

Memory as a Harness: Turning Execution Into Learning

Memory as a Harness: Turning Execution Into Learning
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Latest Integrations

Cut Cognee's Vector Memory by 8x with Qdrant's TurboQuant
Use Qdrant TurboQuant in cognee with one env var to shrink stored vectors by about 8x without retraining, codebooks, or per-dataset tuning.
ScrapeGraphAI + Cognee: Turn Live Web Data Into a Knowledge Graph
Scrape live web data and build a knowledge graph for AI agents with ScrapeGraphAI + Cognee. Build a memory system that understands your data. Follow the step-by-step guide now.
OpenClaw Agents: 3 Viral Use Case Ideas Powered by Cognee
Discover 3 OpenClaw use case ideas and how Cognee brings deeper memory, connected context, and smarter recall. Explore the next step for AI agents—read now.
Cognee is the fastest way to start building reliable Al agent memory.