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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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