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PLTM

Alby2007byAlby2007
•
2
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개발자 도구
기타
데이터 과학 및 ML

Extends Claude Desktop with advanced memory, meta-cognition, and knowledge ingestion tools for AGI research.

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MCPMarket

Claude 및 Cursor와 같은 MCP 클라이언트를 즐겨 사용하는 도구에 연결하는 MCP 서버를 찾아보세요. MCP 마켓에서 시작하세요.

둘러보기

  • MCP 검색
  • MCP 서버
  • MCP 클라이언트
  • Claude 스킬
  • MCP Market Hub
  • 카테고리
  • MCP 서버란 무엇인가요?
  • Model Context Protocol

순위

  • 오늘의 인기 MCP
  • 오늘의 인기 Claude 스킬
  • Claude 스킬 Top 100
  • MCP 서버 Top 100

소개

  • 뉴스
  • 제출하기
  • 문의하기

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PLTM is an MCP server designed to augment Claude Desktop with a comprehensive suite of 78 tools, enabling sophisticated AGI experiments. It empowers Claude with capabilities such as storing and retrieving facts as semantic triples, diverse information retrieval mechanisms like MMR and attention, and meta-cognitive functions including self-improvement and criticality monitoring. Furthermore, it facilitates knowledge ingestion from sources like ArXiv and tracks true computational efficiency through action accounting. The project operates under the hypothesis that universal principles from physics, such as criticality and self-organization, can bootstrap AGI, aiming to push the system towards a critical point where higher-order intelligence may emerge.

주요 기능

01Advanced Memory Operations (Semantic Triples)
02Knowledge Ingestion from ArXiv
03Diverse Retrieval Mechanisms (MMR, Attention, Entropy Injection)
04Computational Efficiency Tracking (Action Accounting)
05Meta-Cognitive Functions (Self-Improvement, Criticality Monitoring)
062 GitHub stars

사용 사례

01Conducting AGI experiments leveraging physics principles for system behavior
02Enhancing Claude Desktop with sophisticated long-term memory and learning capabilities
03Researching and optimizing AI self-organization and emergent intelligence