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ErebusEnigma/context-memory

v1.3.0 Feature

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

Published 3mo Relational Databases
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

claude-code claude-code-plugin context full-text-search memory plugin
+1 more
sqlite

Summary

AI summary

Pre-compact context checkpoints save full transcripts before compaction, enabling recovery.

Full changelog

What's New

Pre-compact context checkpoints

Saves the full conversation transcript to the database before context compaction occurs, enabling seamless recovery of lost detail. Uses a three-layer approach:

  1. PreCompact hook (pre_compact_save.py) — captures all messages without truncation or sampling
  2. Compact instructions in CLAUDE.md — guides the summarizer on what to preserve
  3. context_load_checkpoint MCP tool — on-demand retrieval by session ID or project path

Also included

  • Schema v4: context_checkpoints table with session/project indexes
  • Checkpoint pruning in db_prune.py (per-session and age-based)
  • 50 comprehensive dashboard API tests covering all 17 REST endpoints
  • 37 new tests for the pre-compact checkpoint system
  • 351 total tests passing

Full Changelog: https://github.com/ErebusEnigma/context-memory/blob/main/CHANGELOG.md#130---2026-02-17

View diff on GitHub

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About ErebusEnigma/context-memory

Persistent, searchable context storage across Claude Code sessions using SQLite FTS5. Save sessions with AI-generated summaries, two-tier full-text search, checkpoint recovery, and a web dashboard.

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Related context

Beta — feedback welcome: [email protected]