Introducing Cartly: An iOS Receipt Tracking App Built on Mnexium
Feature-focused breakdown of the Mnexium runtime in Cartly: mnx controls, durable identity, memory flags, records schemas, and deterministic OCR sync.
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Learn how best utilize Mnexium for you AI usecase.
Feature-focused breakdown of the Mnexium runtime in Cartly: mnx controls, durable identity, memory flags, records schemas, and deterministic OCR sync.
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Production-ready Mnexium integration for n8n with chat, memory, profile, records, and custom API operations.
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Memory Policies let you control extraction behavior with scoped defaults and per-request overrides, so your assistant stores high-signal memories with predictable rules.
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Records give your AI a structured data layer — define schemas, CRUD records via API, query with filters, search semantically, and let the AI create and update records automatically from conversations.
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Official SDKs for JavaScript/TypeScript and Python. Add persistent memory, user profiles, structured claims, and conversation history to your AI applications in five lines of code.
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A single npm package that adds a polished, production-ready AI chat widget to any website. React, Next.js, Express, or plain HTML — it just works, and most importantly, it remembers.
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Introducing Memory Decay — a system that makes AI memory behave more like human memory. Frequently used memories stay strong, while unused ones naturally fade. The result? More relevant, contextual AI interactions.
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Long conversations are expensive. Chat Summarization intelligently compresses your conversation history while preserving context, slashing your token costs dramatically with rolling summarization.
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Profiles give your AI applications instant access to key user attributes like names, emails, timezones, and custom fields — all automatically extracted from conversations or set via API.
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In this getting started Hello World post - we clone chatGPT using Mnexium. We include memory and conversation history.
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