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AliceLJY/recallnest

v1.3.0 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 2mo AI Agents & Assistants
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai-agent ai-memory claude-code codex gemini hybrid-retrieval
+11 more
knowledge-graph knowledge-retrieval lancedb local-first long-term-memory mcp memory llm session-continuity transcript-search vector-db

Summary

AI summary

Updates New Feature, Internal, and RecallNest v1.3.0 across a mixed release.

Full changelog

RecallNest v1.3.0

New Feature

  • AccessTracker: reinforcement-based memory decay — memories that are frequently recalled decay slower ("use it or lose it")
    • Access counts stored in metadata JSON (no schema change, backward compatible)
    • Debounced 5s batch flush to reduce IO
    • Access count itself decays with 30-day half-life (prevents stale access history from permanently boosting)
    • log1p diminishing returns + 3x hard cap on half-life extension
    • Inspired by memory-lancedb-pro's access-tracker design

Internal

  • Bump version to 1.3.0 (package.json + MCP server)
View diff on GitHub

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About AliceLJY/recallnest

Persistent memory MCP server for AI coding agents (Claude Code, Codex, Gemini CLI). Hybrid retrieval (vector + BM25), cross-encoder reranking, knowledge graph with PPR traversal, session checkpoint/resume, and multi-scope isolation. Local-first with LanceDB + SQLite, zero external dependencies.

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Related context

Beta — feedback welcome: [email protected]