feat(mem0-plugin): add /mem0:dream consolidation + retention policies
Tier 4 implementation: - #13+15: /mem0:dream skill — fetches all memories, finds near-dupes, proposes merges, flags contradictions, prunes stale entries per retention policy, outputs terminal diff for user approval - #14: --schedule weekly registers cron via Claude Code schedule skill (Claude Code only, noted in docs) - #16: parse_mem0_config.py parses ## Retention section from mem0.md (e.g. session_state: 90d, architecture_decisions: forever)
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---
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name: mem0-dream
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description: >
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Memory consolidation pass. Fetches all project memories, finds near-duplicates,
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merges them, flags contradictions, prunes stale entries per retention policy.
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Outputs a diff for user approval before applying changes.
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TRIGGER: user runs /mem0:dream, or asks "consolidate memories", "clean up memories",
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"merge duplicate memories", "run dream".
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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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user_id="<active_user_id>",
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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:
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- Significant noun/keyword overlap in the memory text.
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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 — Memory Consolidation Report
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### Merge proposals (<N> pairs)
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MERGE [mem0:<id1>] + [mem0:<id2>] → NEW
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- Original 1: "<content of memory 1, truncated to 120 chars>"
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- Original 2: "<content of memory 2, truncated to 120 chars>"
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- Merged: "<drafted merged content>"
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### Contradictions (<N> pairs)
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CONFLICT [mem0:<idA>] vs [mem0:<idB>]
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- A: "<content>" (<created_at date>, confidence: <score>)
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- B: "<content>" (<created_at date>, confidence: <score>)
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Which is current? [A/B/skip]
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### Prune candidates (<N> memories)
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PRUNE [mem0:<id>] — <metadata.type>, <age>d old (policy: <policy_days>d)
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---
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Proposed: <N> merges, <N> prunes, <N> conflicts
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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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- `update_memory(<loser_id>, data={"metadata": {"confidence": 0.1, "superseded_by": "<winner_id>", "source": "mem0-dream"}})`
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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.
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Merged: <N> pairs → <N> new memories
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Pruned: <N> memories deleted
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Flagged: <N> contradictions resolved, <N> skipped
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```
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---
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## Scheduling (Claude Code only)
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### Running dream on a schedule
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**Note**: Scheduled dream is only available in Claude Code, which natively supports
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the `schedule` skill. Codex and Cursor do not have a scheduling primitive — users
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on those platforms should run `/mem0:dream` manually.
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When the user runs `/mem0:dream --schedule weekly` (or similar), register a
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recurring scheduled task using the Claude Code `schedule` skill.
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Use `--auto` flag to enable non-interactive mode, which skips the interactive
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contradiction resolution UI and applies only safe operations automatically:
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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 in `--auto` mode; they require human judgment.
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Example scheduling invocation:
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```
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/schedule weekly mem0:dream --auto
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```
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When running with `--auto`:
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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. Log a compact summary to stdout (suitable for a cron log):
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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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