feat(mem0-plugin): improve auto-triggering — pre-fetch, dedup, skill enforcement v0.2.3 (#5237)
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Kartik
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---
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name: dream
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description: Consolidate memories — merge duplicates, resolve contradictions, prune stale
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---
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# Mem0 Dream — Memory Consolidation
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This skill performs a memory consolidation pass: it fetches all project memories,
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identifies near-duplicates, flags contradictions, and prunes stale entries based on
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configured retention policies. All proposed changes are shown as a diff for user
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approval before anything is modified.
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---
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## Step 1: Load Retention Policies
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Determine the active retention policy by running the parser script. Use the
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appropriate `PLUGIN_ROOT` variable for the current platform (`${CLAUDE_PLUGIN_ROOT}`,
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`${CODEX_PLUGIN_ROOT}`, or `${CURSOR_PLUGIN_ROOT}`):
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```bash
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python3 "<PLUGIN_ROOT>/scripts/parse_mem0_config.py" "<cwd>"
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```
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Parse the JSON output (a dict of `category → days | null`). If the script fails
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or returns `{}`, fall back to these built-in defaults:
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| `metadata.type` | Default retention |
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|---|---|
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| `session_state` | 90 days |
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| `compact_summary` | 90 days |
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| all others | no pruning |
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Store the resolved policies for use in Step 3.
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---
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## Step 2: Fetch ALL Project Memories
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Call `get_memories` to retrieve every memory for the active project:
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```python
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get_memories(
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filters={"AND": [{"user_id": "<active_user_id>"}, {"app_id": "<active_project_id>"}]},
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page_size=200,
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)
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```
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If the response indicates more pages exist, paginate until all memories are fetched.
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Collect the full list before proceeding. If zero memories are found, print:
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```
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No memories found for project <project_id>. Nothing to consolidate.
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```
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…and stop.
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---
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## Step 3: Analyze — Find Issues
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Work entirely in-memory; do not modify anything yet.
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Group memories by `metadata.type` (use `"unknown"` when the field is absent).
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For each group, identify the following:
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### 3a. Near-duplicate pairs (merge candidates)
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Two memories are near-duplicates when they express the same fact or decision but
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phrased differently (e.g., "Use PostgreSQL for auth" and "Auth DB is PostgreSQL").
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Heuristics — two memories are near-duplicates if **all** of these hold:
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- Similarity threshold: estimated cosine similarity > 0.9 (use noun/keyword overlap as proxy — if >60% of significant nouns overlap, treat as >0.9 similarity).
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- Same `metadata.type`.
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- Neither memory is pinned (`metadata.pinned != true`).
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For each qualifying pair, draft a merged version that is more complete and specific
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than either original.
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### 3b. Contradictions
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Two memories contradict when they assert opposing facts about the same topic
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(e.g., "Deploy to ECS" vs. "Deploy to Vercel").
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Identify the likely winner: the more recent memory with higher confidence wins.
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Store both IDs and their content for user review.
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### 3c. Prune candidates
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A memory is a prune candidate when **any** of the following is true:
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1. Its `metadata.type` has a retention policy and the memory is older than the
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configured number of days (compare `created_at` to today).
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2. Its confidence score is below 0.3 AND it contains no information unique to
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this project (no file paths, identifiers, or domain-specific nouns).
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**Always skip memories where `metadata.pinned == true`**, regardless of age or
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confidence.
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---
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## Step 4: Print Diff Report (item 15)
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Print a structured diff to the terminal before making any changes. Use exactly
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this format:
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```
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## dream — consolidation report
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Merges (<N>):
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[mem0:<id1>] + [mem0:<id2>] → "<merged content, 100 chars>"
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Conflicts (<N>):
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[mem0:<idA>] vs [mem0:<idB>] — "<topic>" [A/B/skip]
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Prune (<N>):
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[mem0:<id>] — <type>, <age>d old
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Proposed: <N> merges, <N> prunes, <N> conflicts. Apply? [Y/n]
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```
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If there are zero items in any category, omit that section entirely.
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If there are zero total proposals (no merges, no prunes, no conflicts), print:
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```
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Dream complete. No duplicate, contradictory, or stale memories found.
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```
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…and stop.
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---
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## Step 5: Wait for User Input and Apply
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### 5a. Contradictions
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For each `CONFLICT` pair in the report, wait for the user to type `A`, `B`, or
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`skip` (case-insensitive). If they enter nothing (empty), treat as `skip`.
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Record the winner for each pair before proceeding to the final apply confirmation.
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### 5b. Final confirmation
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After all conflict resolutions are collected, prompt:
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```
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Apply? [Y/n]
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```
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If the user types `n` or `no` (case-insensitive), print `Cancelled. No changes made.`
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and stop.
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If the user confirms (`Y`, `yes`, or empty / Enter), apply all changes in this order:
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#### Merges
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For each approved merge pair:
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1. `delete_memory(<id1>)`
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2. `delete_memory(<id2>)`
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3. `add_memory` with:
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- `messages=[{"role": "user", "content": "<merged content>"}]`
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- `user_id=<active_user_id>`
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- `app_id=<active_project_id>` (top-level, not in metadata)
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- `metadata={"type": "<original type>", "branch": "<active_branch>", "confidence": <higher of the two original scores>, "source": "mem0-dream"}`
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- `infer=False`
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#### Contradictions (resolved)
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For each resolved conflict where the user chose A or B:
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- Identify the loser (the non-chosen memory).
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- First call `get_memory(<loser_id>)` to read its current text content.
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- Then call `update_memory(<loser_id>, text=<original_text_content>)` to preserve the text while updating it.
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- **Important:** `update_memory` requires the `text` parameter. A metadata-only call may error or wipe the content. Always read first, then update with the original text.
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Contradictions where the user chose `skip` are left untouched.
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#### Prunes
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For each prune candidate:
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- `delete_memory(<memory_id>)`
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---
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## Step 6: Print Summary
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After all changes are applied, print:
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```
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Dream complete — merged: <N>, pruned: <N>, conflicts resolved: <N>, skipped: <N>
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```
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---
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## Auto mode
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When invoked with `--auto` (e.g., `/mem0:dream --auto`), run non-interactively:
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- **Merges**: applied automatically (no contradiction, both are compatible).
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- **Prunes**: applied automatically (age/confidence-based, no ambiguity).
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- **Contradictions**: skipped — they require human judgment.
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In auto mode:
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1. Load policies and fetch memories (Steps 1–3) as normal.
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2. Apply merges and prunes silently without printing the diff or prompting.
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3. Print a compact summary:
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```
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[mem0-dream --auto] project=<id> merged=<N> pruned=<N> conflicts_skipped=<N>
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```
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4. If contradictions were detected but skipped, store a reminder memory:
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```python
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add_memory(
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messages=[{"role": "user", "content": "mem0-dream detected <N> contradiction(s) requiring manual review. Run /mem0:dream to resolve them interactively."}],
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user_id="<active_user_id>",
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app_id="<active_project_id>",
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metadata={"type": "task_learning", "source": "mem0-dream-auto", "branch": "<active_branch>"},
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infer=False,
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)
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```
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## See also
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- `/mem0:forget` — targeted deletion of specific memories (search + confirm + delete)
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- `/mem0:health --deep` — quick quality scan without applying changes
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