This release adds 3 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Topics
+1 more
Summary
AI summarySchema versioning adds a migration system and auto‑migrates legacy v1 databases on first save.
Full changelog
What's New
Features
- Schema versioning —
schema_versiontable with migration system. Legacy databases (v1) auto-migrate on first save. - Session deduplication —
should_skip_auto_save()prevents redundant auto-saves when/rememberwas used recently. New--autoand--dedup-windowCLI flags. - DB pruning — New
db_prune.pyfor database maintenance: prune by age (--max-age), count (--max-sessions), or both. Includes--dry-runpreview and FTS index rebuild. - Improved stop hook — Captures project name in brief and git branch as topic. Uses
--autoflag for deduplication. CONTEXT_MEMORY_DB_PATH— Environment variable override for custom DB location.
Bug Fixes
/remembernow saves complete data — Uses--jsonpath to save all fields (detailed summary, decisions, messages, code snippets). Previously only saved brief + topics, leaving--detailedrecall empty.--jsonno longer requires--session-id— The--jsonflag now works standalone as documented;session_idis read from the JSON payload.- Installer no longer leaves orphaned clone — Clones to CWD instead of
~/.claude/plugins/. Copiesuninstall.pyto~/.claude/context-memory/so it survives clone deletion. - Uninstaller works standalone — No longer requires the original clone directory.
Upgrade
git clone https://github.com/ErebusEnigma/context-memory.git
cd context-memory
python install.py
Existing databases are automatically migrated. No manual steps needed.
Stats
- 94 tests passing (54 existing + 40 new)
- 20 files changed, 1098 insertions
Full Changelog: https://github.com/ErebusEnigma/context-memory/blob/main/CHANGELOG.md
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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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Beta — feedback welcome: [email protected]