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Building a persistent cognitive architecture for LLM agents using Elixir and OTP

The article introduces 'Skynet', an experimental project using Elixir and OTP to create persistent cognitive architectures for LLM agents, addressing the memory limitations of current systems. It explores how Elixir's actor model can be used to manage LLM reasoning steps as GenServer processes, allowing for dynamic process spawning and supervision. The approach aims to solve the 'amnesia problem' in LLMs and improve upon traditional RAG systems by creating more coherent memory structures.

Background

Large Language Models (LLMs) often struggle with maintaining context over long conversations or extended operations, a limitation known as the 'amnesia problem'. Current solutions like Retrieval-Augmented Generation (RAG) have limitations in maintaining coherent memory and can be computationally expensive.

Source
Lobsters
Published
Jun 10, 2026 at 06:41 AM
Score
7.0 / 10