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wbbeyourself/SCM4LLMs

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SCM4LLMs

This is the official repository for the paper "Enhancing Large Language Model with Self-Controlled Memory Framework". In this paper, we introduce the Self-Controlled Memory (SCM) system to unleash infinite-length input capacity for large-scale language models. Our SCM system is composed of three…

Features

  • Agent Lifecycle Management - Self-controlled memory framework for large language models.
  • Memory and Context - Self-controlled memory system for infinite-length input capacity.

Star history

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How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with SCM4LLMs

These projects share indexed features with SCM4LLMs. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • voltagent/voltagentVoltAgent avatar

    VoltAgent/voltagent

    6,020View on GitHub↗
    TypeScriptagentsaiai-agents
    View on GitHub↗6,020
  • hkuds/deeptutorHKUDS avatar

    HKUDS/DeepTutor

    10,365View on GitHub↗

    DeepTutor is a framework for personalized AI tutoring and educational content generation. It functions as an agentic workflow system that executes reasoning loops to complete multi-step tasks, transforming raw sources into structured learning materials such as interactive books, quizzes, and concept graphs. The platform distinguishes itself through an extensible skill architecture that allows the installation and auditing of third-party capability packages from community registries. It utilizes persona-driven tool policies to deploy persistent AI companions with unique behavioral profiles and

    Pythonai-agentsai-tutordeepresearch
    View on GitHub↗10,365
  • amazon-science/efficient-longdoc-classificationA

    amazon-science/efficient-longdoc-classification

    0View on GitHub↗
    View on GitHub↗0
  • andrewzh112/expelA

    Andrewzh112/ExpeL

    0View on GitHub↗
    View on GitHub↗0
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Frequently asked questions

What does wbbeyourself/scm4llms do?

This is the official repository for the paper "Enhancing Large Language Model with Self-Controlled Memory Framework". In this paper, we introduce the Self-Controlled Memory (SCM) system to unleash infinite-length input capacity for large-scale language models. Our SCM system is composed of three…

What are the main features of wbbeyourself/scm4llms?

The main features of wbbeyourself/scm4llms are: Agent Lifecycle Management, Memory and Context.

Which projects share features with wbbeyourself/scm4llms?

Projects with overlapping indexed features include: voltagent/voltagent. hkuds/deeptutor — DeepTutor is a framework for personalized AI tutoring and educational content generation. It functions as an agentic… amazon-science/efficient-longdoc-classification. cpacker/memgpt — MemGPT is a memory management framework and external memory layer for large language models. It functions as a… eternityjune25/comorag — ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning. andrewzh112/expel.