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• v2.4.0 — Knowledge Base & Skill-Aware Documentation System

  Introduce a structured, versioned, and skill-aware knowledge base system. This includes: - controlled document ingestion (scraping) - versioned documentation storage - skill-linked knowledge retrieval - token-efficient content usage Goal: Improve agent accuracy while maintaining strict control over token usage and memory efficiency.

  No due date

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• v2.3.0 — Token Efficiency & Performance Optimization

  Released: April 2026 (planned) ## Highlights - Reduced token usage across MCP interactions - Optimized memory retrieval and compression - Improved prompt construction efficiency - Reduced redundant context injection - Enhanced multi-agent token sharing ## System Impact - Lower token cost per request - Faster response cycles - Improved scalability for large projects - Maintained reasoning quality with reduced context size ## Focus Areas - memory retrieval optimization - prompt modularization - code context reduction - history compression - tool usage efficiency --- This release focuses on improving system efficiency without reducing intelligence. See full changelog: https://github.com/coderooz/Local-MCP-Memory-Server/blob/main/CHANGELOG.md

  Due by April 30, 2026

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