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#memory-systems

The Echo Amplifies the Knowledge: Somatic Marker Analogues in Language Models via Emotion Vector Re-Injection

arXiv cs.AI · yesterday Cached

This preprint introduces a method to inject emotion vectors into language models to simulate somatic markers, aiming to bridge the gap between semantic and episodic memory. The authors demonstrate that combining emotional echoes with semantic knowledge improves decision-making capabilities, replicating findings from human cognitive science.

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#memory-systems

@appliedcompute: https://x.com/appliedcompute/status/2052826576723841292

X AI KOLs Timeline · 5d ago Cached

Applied Compute introduces ACL-Wiki, a continual learning memory system built on their Context Engine that logs coding agent interactions from Cursor, Claude Code, and Codex to build an improving Contextbase, roughly doubling the Critical Memory Rate over two weeks. The system uses a Remember-Refine-Retrieve pipeline exposed via MCP server to give coding agents institutional memory that improves with use.

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#memory-systems

Evaluating Memory Capability in Continuous Lifelog Scenario

arXiv cs.CL · 2026-04-20 Cached

This paper introduces LifeDialBench, a novel benchmark for evaluating memory capabilities in continuous lifelog scenarios using wearable devices, and proposes an online evaluation protocol that enforces temporal causality. Key finding: sophisticated memory systems underperform simple RAG baselines, highlighting the importance of high-fidelity context preservation over lossy compression.

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#memory-systems

Project Shadows: Turns out "just add memory" doesn't fix your agent

Reddit r/artificial · 2026-04-19 Cached

An analysis exploring limitations in AI agent design, arguing that simply increasing memory capacity is insufficient to address fundamental architectural issues in how agents are built and function.

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#memory-systems

The Continuity Layer: Why Intelligence Needs an Architecture for What It Carries Forward

Hugging Face Daily Papers · 2026-04-19 Cached

Position paper proposes a “continuity layer” that preserves what models learn over time, introducing Decomposed Trace Convergence Memory and the ATANT benchmark to measure 100% isolated, 96% cumulative recall on a 250-story corpus without language models in the loop.

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How Tolan builds voice-first AI with GPT-5.1

OpenAI Blog · 2026-01-07 Cached

Tolan, a voice-first AI companion built by Portola, uses GPT-5.1 and advanced memory management to create personalized, evolving conversations with animated characters. The platform leverages OpenAI's models, the Responses API, and vector databases to achieve near-instant latency and coherent long-form dialogue.

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#memory-systems

EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning

Papers with Code Trending · 2026-01-05 Cached

EverMemOS is a self-organizing memory operating system for large language models that enhances long-horizon reasoning by structuring dialogue into memory cells and scenes.

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