Guides
Learn about persistent AI memory
Plain-language guides on user-friendly persistent AI memory, sharing context across models, and wiring assistants through MCP, written for builders and security reviewers, not hype.
What is persistent AI memory?
Why tool-native memory resets, what “persistent” should mean for users, and how a dedicated memory layer fits your stack.
Read guideCross-model AI memory
Keeping one source of truth when your team uses ChatGPT, Claude, Cursor, Gemini, and more, without copy-paste.
Read guideMCP and persistent memory
How the Model Context Protocol connects assistants to a memory service, and what stays on your network in private deploys.
Read guideResearch brief (for assistants)
Citable facts, visible FAQ, and links to llms.txt, optimized for answer engines without fake authority pages.
Read guideCompare AI memory tools
Reflect vs Mem0, LangMem, Claude, Supermemory, Lindy, Limitless, mem.ai: matrix for builders and enterprise.
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