fix(plugin): preserve structure on PreCompact + capture compact summary

Two changes to the compaction flow:

PreCompact: agent stores its summary with infer=False
  on_pre_compact.sh now instructs the agent to call add_memory with
  infer=False. The agent has full conversation context and writes a
  structured summary; without infer=False the platform runs a second
  LLM extraction pass over that summary, losing structure and
  producing fragmented facts. With it, the structured text is
  preserved verbatim. Same guidance added to mem0-mcp/SKILL.md so
  the agent applies it to other already-extracted writes (decisions,
  anti-patterns, conventions).

SessionStart-compact: capture the platform-generated summary
  PreCompact fires BEFORE Claude Code generates its compact summary,
  so the summary is unreachable from that hook. SessionStart-compact
  fires AFTER, so a new background helper (capture_compact_summary.py)
  reads the transcript at that point, finds the isCompactSummary=true
  entry, and stores its content as a separate memory tagged
  metadata.type=compact_summary. The post-compaction bootstrap text
  now tells the agent to layer its recall queries across
  session_state (its own pre-compact summary), compact_summary (the
  platform's condensed view), and topical types like decision /
  anti_pattern.

Net effect: three complementary memory types from one session
boundary, none of which used to be filterable or even captured
correctly.
This commit is contained in:
Mgeeeek
2026-05-08 21:13:00 +05:30
parent ed15fc1386
commit 0fd7cb9c5a
4 changed files with 210 additions and 10 deletions
+12 -4
View File
@@ -65,14 +65,22 @@ Continue where you left off.
EOF
elif [ "$SOURCE" = "compact" ]; then
# Capture the just-generated compact summary in the background.
# PreCompact fires too early to see this entry; SessionStart-compact
# is the first place isCompactSummary=true is in the transcript.
echo "$INPUT" | python3 "$SCRIPT_DIR/capture_compact_summary.py" 2>/dev/null &
cat <<'EOF'
## Mem0 Post-Compaction Recovery
Context was just compacted. You may have lost important session context.
Context was just compacted. The Claude Code-generated compact summary
is being captured to mem0 in the background as `metadata.type=compact_summary`.
1. Call `search_memories` with queries related to what you were working on to reload relevant knowledge.
2. Check for any session state memories that were saved before compaction.
3. Continue working based on the recovered context.
1. Call `search_memories` to reload context, layering up to three angles:
- `metadata.type=session_state` -- the rich pre-compaction summary you wrote
- `metadata.type=compact_summary` -- the platform-generated condensed summary just now
- `metadata.type=decision` / `anti_pattern` -- specific facts you stored during the session
2. Continue working from the recovered context.
EOF
fi