GitHub

Efficient Lifelong Memory for LLM Agents — Text & Multimodal

Store, compress, and retrieve long-term memories with semantic lossless compression. Now with multimodal support for text, image, audio & video. Works across Claude, Cursor, LM Studio, and more.
ascopubs.org

Toward Automating the Summarization of Cancer Pathology Reports Using Large Language Models to Improve Clinical Usability

Performance of an Artificial Intelligence Foundation Model for Prostate Radiotherapy Segmentation Patients who underwent initial consultation in a thoracic clinic between January 2019 and July 2023 ...
IEEE

A Unified Pipeline for Automated Meeting Documentation Using Speech-to-Text, Abstractive Summarization, and Sentiment Analysis

Abstract: Automated meeting documentation requires jointly addressing transcription noise, long-context summarization, and affect interpretation in multi-speaker conversations. This paper investigates ...
GitHub

Preventive context management for LangChain agents.

When an agent reads ten files in a row, those twenty messages stay in context long after they've been processed. This middleware quietly collapses them into a single line, keeping only the most recent ...
IEEE

Evaluating Transformer-Based Models for Abstractive Text Summarization Across Multiple Datasets with Hallucination Analysis

Abstract: Abstractive text summarization refers to creating a concise version of a document that conveys its main ideas in the form of a summary or headline. With the increasing performance of ...
Reuters

LLM Consensus Matches or Outperforms the Best AI Models in Expert Evaluation Without Performance Degradation

SHERIDAN, WY, April 2, 2026 (EZ Newswire) -- LLM Consensus has released the results of its Expert-Domain Evaluation Benchmark v1.0, an independent study analyzing the performance of its multi-model ...