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LuizEduPP/rememb

v0.4.1 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agent-memory ai-agents ai-memories ai-memory cherry-studio claude
+14 more
clawdbot context-persistence copilot cursor fastapi llm llm-memory mcp mcp-server memory model-context-protocol moltbot persistent-memory windsurf

Summary

AI summary

Version bumped from Alpha (3) to Beta (4), fully backward compatible.

Full changelog

What's Changed

🎯 Deduplication & Memory Consolidation

  • consolidate_entries() API for merging near-duplicate memories with two modes:
    • exact: Normalized content hash comparison (default, deterministic)
    • semantic: Cosine similarity with configurable threshold (default 0.88)
  • Smart Metadata Merge: Union of tags, min created_at, max updated_at, sum of access_counts
  • semantic_scope flag: Choose between global (all sections) or section (current section only) for duplicate detection in write_entry()

🛠️ New MCP Tool

  • rememb_consolidate: Full MCP tool with section filtering and mode selection
    • InputSchema with mode (exact|semantic), similarity_threshold, and section options

🖥️ TUI Enhancement

  • Ctrl+D keyboard shortcut for consolidation in the sidebar
  • Semantic deduplication by default on current section context
  • Live notification showing consolidation results and merged count

📊 Versioning & Stability

  • Bumped from Alpha (3) to Beta (4) — ready for wider adoption
  • Fully backward compatible with 0.4.0 and earlier APIs

🚀 Installation

pip install rememb==0.4.1

Full Changelog: https://github.com/LuizEduPP/Rememb/compare/v0.4.0...v0.4.1

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About LuizEduPP/rememb

Persistent memory for AI agents with sectioned entries (project/user/context/etc), semantic search, CLI, and per-project scope. Local JSON, zero config, no server required.

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Beta — feedback welcome: [email protected]