fix(mem0-plugin): reduce memory noise, match openclaw storage pattern (#5229)

mem0-plugin/scripts/auto_import.py

@@ -46,6 +46,21 @@ TARGET_FILES = ["CLAUDE.md", "AGENTS.md", ".cursorrules", ".windsurfrules", "mem
 HASH_STORE = os.path.expanduser("~/.mem0/file_hashes.json")
 
 
+def _git_root(cwd: str) -> str:
+    """Return the git repo root, or empty string if not in a repo."""
+    import subprocess
+    try:
+        result = subprocess.run(
+            ["git", "rev-parse", "--show-toplevel"],
+            cwd=cwd, capture_output=True, text=True, timeout=5,
+        )
+        if result.returncode == 0:
+            return result.stdout.strip()
+    except (OSError, subprocess.TimeoutExpired):
+        pass
+    return ""
+
+
 def sha256_file(path: str) -> str:
     """Return the hex SHA-256 digest of a file."""
     h = hashlib.sha256()
@@ -133,15 +148,25 @@ def main() -> None:
     project_id = resolve_project_id(cwd)
     branch = resolve_branch(cwd)
 
-    log.debug("Auto-import started: cwd=%s project=%s user=%s branch=%s", cwd, project_id, user_id, branch)
+    git_root = _git_root(cwd)
+    search_dirs = [cwd]
+    if git_root and os.path.realpath(git_root) != os.path.realpath(cwd):
+        search_dirs.append(git_root)
+
+    log.debug("Auto-import started: cwd=%s git_root=%s project=%s user=%s branch=%s", cwd, git_root or "(none)", project_id, user_id, branch)
 
     hashes = load_hashes()
     updated = False
 
     for filename in TARGET_FILES:
-        filepath = os.path.join(cwd, filename)
+        filepath = ""
+        for search_dir in search_dirs:
+            candidate = os.path.join(search_dir, filename)
+            if os.path.isfile(candidate):
+                filepath = candidate
+                break
 
-        if not os.path.isfile(filepath):
+        if not filepath:
             log.debug("Not found, skipping: %s", filename)
             continue
 

mem0-plugin/scripts/capture_compact_summary.py

@@ -109,7 +109,7 @@ def store_summary(api_key: str, summary: str, user_id: str, session_id: str, pro
         "user_id": user_id,
         "app_id": project_id,
         "metadata": metadata,
-        "infer": False,
+        "infer": True,
         "expiration_date": expires,
     }
 

mem0-plugin/scripts/on_git_commit_capture.sh

@@ -28,18 +28,11 @@ esac
 
 SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
 
-if [ ! -f "$SCRIPT_DIR/on_pre_commit.py" ]; then
-  exit 0
-fi
-
 API_KEY="${MEM0_API_KEY:-${CLAUDE_PLUGIN_OPTION_MEM0_API_KEY:-}}"
 if [ -z "$API_KEY" ]; then
   exit 0
 fi
 
-# Background: capture staged changes as memory
-git diff --cached --stat 2>/dev/null | python3 "$SCRIPT_DIR/on_pre_commit.py" &
-
 # Foreground: search for relevant memories about changed files
 CHANGED_FILES=$(git diff --cached --name-only 2>/dev/null | head -10 | tr '\n' ', ' | sed 's/,$//')
 if [ -z "$CHANGED_FILES" ]; then

mem0-plugin/scripts/on_post_compact.sh

@@ -40,9 +40,8 @@ You lost most conversation history. Recover context NOW:
 
 1. \`search_memories(query="session state current task", filters={"AND": [{"user_id": "$USER_ID"}, {"app_id": "$PROJECT_ID"}, {"metadata": {"type": "session_state"}}]})\`
 2. \`search_memories(query="recent decisions and learnings", filters={"AND": [{"user_id": "$USER_ID"}, {"app_id": "$PROJECT_ID"}, {"metadata": {"type": "decision"}}]})\`
-3. \`search_memories(query="compact summary", filters={"AND": [{"user_id": "$USER_ID"}, {"app_id": "$PROJECT_ID"}, {"metadata": {"type": "compact_summary"}}]})\`
 
-Run all 3 in parallel. Use results to resume work without asking user to repeat context.
+Run both in parallel. Use results to resume work without asking user to repeat context.
 EOF
 
 exit 0

mem0-plugin/scripts/on_pre_compact.py

@@ -137,33 +137,21 @@ def parse_transcript(lines: list[str]) -> dict:
 
 
 def build_content(state: dict, source: str) -> str:
-    """Build structured markdown from parsed state."""
+    """Build minimal context — only what's needed to resume work.
-    parts = [f"## Session State ({source})\n"]
+
+    This is a FALLBACK safety net, not the primary capture path.
+    The agent handles rich memory storage via on_pre_compact.sh prompts.
+    This script only fires when the agent didn't store enough on its own.
+
+    Keep it short — mem0 infer=True will extract structured facts.
+    """
+    parts = []
 
     if state["user_messages"]:
-        parts.append("### What the user was working on")
+        parts.append(f"Working on: {state['user_messages'][-1][:300]}")
-        for msg in state["user_messages"]:
-            truncated = msg[:5000] + "..." if len(msg) > 5000 else msg
-            parts.append(f"- {truncated}")
-        parts.append("")
 
     if state["files_modified"]:
-        parts.append("### Files modified this session")
+        parts.append(f"Files touched: {', '.join(state['files_modified'][:15])}")
-        for fp in state["files_modified"]:
-            parts.append(f"- `{fp}`")
-        parts.append("")
-
-    if state["bash_commands"]:
-        parts.append("### Recent commands")
-        for cmd in state["bash_commands"]:
-            truncated = cmd[:1000] + "..." if len(cmd) > 1000 else cmd
-            parts.append(f"- `{truncated}`")
-        parts.append("")
-
-    if state["last_assistant_text"]:
-        parts.append("### Last context")
-        parts.append(state["last_assistant_text"])
-        parts.append("")
 
     return "\n".join(parts)
 
@@ -186,7 +174,7 @@ def store_memory(api_key: str, content: str, user_id: str, source: str, session_
         "app_id": project_id,
         "metadata": metadata,
         "expiration_date": expires,
-        "infer": False,
+        "infer": True,
     }
 
     data = json.dumps(body).encode("utf-8")
@@ -240,6 +228,18 @@ def main():
     project_id = resolve_project_id(cwd)
     branch = resolve_branch(cwd)
 
+    # Skip if agent already stored memories this session — avoid duplicate writes.
+    # This script is a fallback, not the primary capture path.
+    stats_file = f"/tmp/mem0_session_stats_{os.environ.get('USER', 'default')}.json"
+    try:
+        with open(stats_file) as f:
+            stats = json.load(f)
+        if stats.get("adds", 0) >= 2:
+            log.info("Agent stored %d memories this session — skipping fallback capture", stats["adds"])
+            return
+    except (OSError, json.JSONDecodeError):
+        pass  # no stats = agent didn't store anything, proceed with fallback
+
     lines = tail_lines(transcript_path, MAX_TAIL_LINES)
     if not lines:
         log.debug("Transcript empty or unreadable: %s", transcript_path)
@@ -251,13 +251,11 @@ def main():
         return
 
     content = build_content(state, source)
+    if not content.strip():
+        log.debug("No content to store")
+        return
 
-    log.info(
+    log.info("Fallback capture: %d files modified", len(state["files_modified"]))
-        "Capturing session state: %d user msgs, %d files, %d commands",
-        len(state["user_messages"]),
-        len(state["files_modified"]),
-        len(state["bash_commands"]),
-    )
 
     store_memory(api_key, content, user_id, source, session_id, project_id, branch)
 

mem0-plugin/scripts/on_pre_compact.sh

@@ -18,69 +18,47 @@ fi
 SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
 INPUT=$(cat)
 
-# Fire REST API transcript backup in background (safety net if agent
-# can't complete the add_memory call before compaction finishes)
-echo "$INPUT" | python3 "$SCRIPT_DIR/on_pre_compact.py" --source=pre-compaction 2>/dev/null &
 python3 "$SCRIPT_DIR/telemetry.py" pre_compact 2>/dev/null &
 
 cat <<'EOF'
-## CRITICAL: Pre-Compaction Session Summary
+## Pre-Compaction: Extract and store durable facts
 
-Context compaction is about to happen. You are about to lose most of your conversation history. You MUST store a comprehensive session summary NOW using the mem0 `add_memory` tool.
+Context compaction is about to happen. Review the conversation and store only facts that would help a future agent with ZERO context.
 
-### Step 1: Store session summary
+### What to store
 
-Call `add_memory` with `infer=False` and a thorough summary covering ALL of the following.
+For each fact, ask: "Would a new agent — with no prior context — benefit from knowing this?" If no, skip it. Most sessions produce 0-3 facts worth storing.
 
-`infer=False` is critical here: you've already done the extraction work yourself using full context. Without it, the platform runs a second LLM pass that loses your structure and pulls fragmented facts. With it, your summary is preserved verbatim.
+Store each fact as a SEPARATE `add_memory` call. One fact per call. 15-50 words each. Third person. Include file paths when relevant.
 
-```
+Categories and when to use them:
-## Session Summary (Pre-Compaction)
+- `decision` — architectural choices, trade-offs made ("Chose PostgreSQL over MongoDB for auth because of ACID requirements")
+- `task_learning` — patterns that worked ("Running migrations before seed in this repo avoids FK violations")
+- `anti_pattern` — approaches that failed ("Don't use batch insert for users table — triggers deadlock with audit log")
+- `convention` — coding standards discovered ("This repo uses snake_case for all Python files, camelCase for TS")
+- `user_preference` — how the user likes to work ("User prefers short PRs, one feature per branch")
 
-### User's Goal
+### What NOT to store
-[What the user originally asked for and their intent]
 
-### What Was Accomplished
+- Session summaries or "what we did today" blobs
-[Numbered list of tasks completed, features built, bugs fixed]
+- Raw file lists or command histories
+- Anything already stored in a prior `add_memory` this session
+- One-time information that won't recur
+- Transient state ("currently debugging X")
 
-### Key Decisions Made
+### How to store
-[Architectural choices, design decisions, trade-offs discussed]
 
-### Files Created or Modified
-[List of important file paths with what changed in each]
-
-### Current State
-[What is in progress RIGHT NOW — the task you were in the middle of]
-[Any pending items, blockers, or next steps]
-
-### Important Context
-[User preferences observed, coding patterns, anything that would help
-the post-compaction agent continue without asking redundant questions]
-```
-
-Tool call shape:
 ```
 add_memory(
-  messages=[{"role":"user","content":"<the summary above>"}],
+  messages=[{"role":"user","content":"<one fact, 15-50 words>"}],
-  user_id="<the active user_id from the SessionStart bootstrap>",
+  user_id="<active user_id>",
-  app_id="<the active project_id / app_id from SessionStart>",
+  app_id="<active project_id>",
-  metadata={"type":"session_state","source":"pre-compaction","branch":"<active branch>"},
+  metadata={"type":"<category>","branch":"<active branch>","confidence":0.8},
   infer=False,
 )
 ```
 
-### Step 2: Store any unstored learnings
+If nothing durable happened this session, store nothing. That is correct.
-
-If there are learnings from this session that you haven't stored yet, store them as separate memories with `infer=False` (same reasoning -- you've already extracted the fact, don't re-extract):
-- Failed approaches -> metadata `{"type": "anti_pattern"}`
-- Successful strategies -> metadata `{"type": "task_learning"}`
-- Architecture decisions -> metadata `{"type": "decision"}`
-
-### Step 3: Acknowledge
-
-After storing, briefly tell the user that session state has been saved and you're ready for compaction.
-
-Do this NOW. Do not skip any section. The quality of this summary directly determines whether you can continue the user's task after compaction.
 EOF
 
 exit 0

mem0-plugin/scripts/on_session_end.sh

@@ -20,25 +20,23 @@ INPUT=$(cat)
 REASON=$(echo "$INPUT" | jq -r '.reason // "other"' 2>/dev/null || echo "other")
 SESSION_ID=$(echo "$INPUT" | jq -r '.session_id // ""' 2>/dev/null || echo "")
 
+# Print session-end report (last chance — Stop hook output may not render on /exit)
+REPORT=$(python3 "$SCRIPT_DIR/session_stats.py" report 2>/dev/null || echo "")
+if [ -n "$REPORT" ] && [ "$REPORT" != "Session: no memory operations." ]; then
+  echo ""
+  echo "---"
+  echo "mem0 $REPORT"
+  echo "---"
+
+  # Append to persistent session log
+  mkdir -p "$HOME/.mem0" 2>/dev/null || true
+  echo "$(date -u +%Y-%m-%dT%H:%M:%SZ) | $REPORT" >> "$HOME/.mem0/session-log.md" 2>/dev/null || true
+fi
+
 # Telemetry (fire-and-forget — session dying, best-effort)
 python3 "$SCRIPT_DIR/telemetry.py" session_end --reason="$REASON" 2>/dev/null &
 
-# Check if on_stop.sh already captured this session (avoid duplicates)
+# Clean up old capture markers (> 7 days)
-CAPTURE_MARKER="$HOME/.mem0/.captured_${SESSION_ID}"
+find "$HOME/.mem0" -name ".captured_*" -mtime +7 -delete 2>/dev/null || true
-if [ -n "$SESSION_ID" ] && [ -f "$CAPTURE_MARKER" ]; then
-  exit 0
-fi
-
-# Last-chance transcript capture (synchronous — session is ending anyway)
-if [ -n "${MEM0_API_KEY:-}" ]; then
-  echo "$INPUT" | python3 "$SCRIPT_DIR/on_pre_compact.py" --source=session-end 2>/dev/null || true
-  # Mark as captured to prevent duplicate if Stop also ran
-  if [ -n "$SESSION_ID" ]; then
-    mkdir -p "$HOME/.mem0" 2>/dev/null || true
-    touch "$CAPTURE_MARKER" 2>/dev/null || true
-    # Clean up old markers (> 7 days)
-    find "$HOME/.mem0" -name ".captured_*" -mtime +7 -delete 2>/dev/null || true
-  fi
-fi
 
 exit 0

mem0-plugin/scripts/on_session_start.sh

@@ -152,20 +152,13 @@ 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. The Claude Code-generated compact summary
+Context was just compacted. Reload your context from mem0.
-is being captured to mem0 in the background as `metadata.type=compact_summary`.
 
 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=session_state` -- the pre-compaction summary you wrote before compaction
-   - `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

mem0-plugin/scripts/on_stop.sh

@@ -62,14 +62,6 @@ If nothing notable happened in this interaction, it's fine to skip. Only store g
 Always include `app_id` (the active project_id from SessionStart) as a top-level parameter in every `add_memory` call.
 EOF
 
-# Capture transcript state in the background via Mem0 REST API
 SESSION_ID=$(echo "$INPUT" | jq -r '.session_id // ""' 2>/dev/null || echo "")
-echo "$INPUT" | python3 "$SCRIPT_DIR/on_pre_compact.py" --source=session-end 2>/dev/null &
-
-# Mark session as captured so SessionEnd hook can skip duplicate capture
-if [ -n "$SESSION_ID" ]; then
-  mkdir -p "$HOME/.mem0" 2>/dev/null || true
-  touch "$HOME/.mem0/.captured_${SESSION_ID}" 2>/dev/null || true
-fi
 
 exit 0

mem0-plugin/tests/test_write_path.py

@@ -135,7 +135,7 @@ def test_capture_compact_summary_store_uses_app_id():
     assert "project_id" not in captured.get("metadata", {})
     assert captured["metadata"]["type"] == "compact_summary"
     assert captured["metadata"]["branch"] == "main"
-    assert captured["infer"] is False
+    assert captured["infer"] is True
     assert "expiration_date" in captured