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LuizEduPP/rememb

v0.4.6 Bugfix

This release fixes issues for SREs watching stability and regressions.

✓ 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

ReleasePort's take

Light signal
editorial:auto 13d

Version 0.4.6 addresses cache overwriting issues, store initialization requirements, and UI formatting bugs. Metadata and documentation aligned across all targets.

Why it matters: Prevents semantic embedding cache overwriting on filtered operations and store state corruption during mutations. Operators using store edit/delete or web pagination should test in dev.

Summary

AI summary

Fixed embedding cache overwriting, store initialization checks, and entry‑formatting fallbacks in the web UI.

Changes in this release

Dependency Medium

Package and release metadata aligned to version 0.4.6 across all targets

Package and release metadata aligned to version 0.4.6 across all targets

Source: llm_adapter@2026-05-21

Confidence: low

Dependency Medium

Package and release metadata aligned to version 0.4.6 across Python package, Docker image, and MCP registry.

Package and release metadata aligned to version 0.4.6 across Python package, Docker image, and MCP registry.

Source: granite4.1:30b@2026-05-21-audit

Confidence: low

Bugfix Medium

Store edit/delete operations require initialized root before mutating state

Store edit/delete operations require initialized root before mutating state

Source: llm_adapter@2026-05-21

Confidence: high

Bugfix Medium

Semantic embedding cache no longer overwritten by filtered operations

Semantic embedding cache no longer overwritten by filtered operations

Source: llm_adapter@2026-05-21

Confidence: low

Bugfix Medium

Entry formatting correctly distinguishes summary from full output

Entry formatting correctly distinguishes summary from full output

Source: llm_adapter@2026-05-21

Confidence: low

Bugfix Medium

Web UI pagination safely handles invalid numeric input values

Web UI pagination safely handles invalid numeric input values

Source: llm_adapter@2026-05-21

Confidence: low

Bugfix Medium

Semantic embedding cache persistence avoids being overwritten by filtered or section-scoped operations.

Semantic embedding cache persistence avoids being overwritten by filtered or section-scoped operations.

Source: granite4.1:30b@2026-05-21-audit

Confidence: low

Refactor Medium

README updated with current Web UI screenshots and information

README updated with current Web UI screenshots and information

Source: llm_adapter@2026-05-21

Confidence: low

Refactor Low

README refreshed with current Web UI screenshots for memories, stats, and settings views.

README refreshed with current Web UI screenshots for memories, stats, and settings views.

Source: granite4.1:30b@2026-05-21-audit

Confidence: low

Full changelog

Changed

  • Package and release metadata were aligned to version 0.4.6 across the Python package, Docker image install target, and MCP registry metadata.
  • README was refreshed to reflect the current Web UI and now includes real screenshots for the main memories view, stats view, and settings view.

Fixed

  • Semantic embedding cache persistence now avoids being overwritten by filtered or section-scoped operations, preventing stale subset embeddings from poisoning the shared on-disk cache.
  • Store edit and delete operations now require an initialized root before mutating state, avoiding partially initialized .rememb/ directories.
  • Entry formatting now distinguishes summary output from full output correctly, and the Web UI settings flow now falls back safely when numeric pagination inputs parse to invalid values.

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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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Related context

Beta — feedback welcome: [email protected]