The Alchemyst AI Blog
Journaling how we make Alchemyst AI the best and most trusted context layer in the world.
Multilingual AI Voice OS for High Volume Customer Interactions
Discover why stateless AI fails global enterprises and how context engineering solves the multilingual challenge. Explore how the Kathan engine transforms high-volume customer interactions with advanced state management.
Alchemyst at 2026 - the year ahead
2025 was a huge year for us - for both product and our mission. The world finally "got" why AI needs context and memory, and finally people woke up from the dream that AGI will be achieved with compute. Here's what we did for 2025 - and how we're looking at 2026.
The Road to AGI: Broken promises, Hallucinations, Memory, RAG and Context
By now, almost everyone knows for a fact that AGI cannot be achieved through just scaling compute - there’s the fundamental function of context that’s missing. But we’ve been wrongly doing “context engineering” as two separate components - memory and RAG. Here’s why.
The Pareto Frontier for Context: Alchemyst achieves cost-performance optimality
Alchemyst is a specialized Context Layer for AI that transforms vast raw memory into precise, relevant context for the current interaction, preventing the hallucinations and noise common in standard memory solutions . By focusing on intelligent retrieval rather than just storage, it achieves the Efficiency Frontier: delivering top-tier recall accuracy (80% on ConvoMem) at a fraction of the market cost (~$0.06 per million tokens vs. ~$6.00+) . This architecture allows developers to build scalable, long-term intelligent agents without compromising on performance or price .
Introducing the Alchemyst Chrome Extension
Context Is Everything: The Science of Embeddings in LLMs
This article explains how modern Large Language Models use context embeddings to understand meaning, maintain conversation flow, and reason intelligently. You’ll learn how embeddings form the fundamentals of LLMs.