# Closure receipt — TencentDB-Agent-Memory absorption into openclaw-mem

Date: 2026-05-15
Line: `TencentDB-Agent-Memory → openclaw-mem absorption`
Mode: CK engineering spec; 櫻花刀舞 non-stop

## Changed truth

`openclaw-mem` now has an additive file-only `symbolic-canvas` surface:

```bash
openclaw-mem symbolic-canvas build --from-file trace.json --out canvas.json --mermaid-out canvas.mmd --json
```

It turns task traces into compact Mermaid + `node_id` drill-down artifacts while preserving Store / Pack / Observe:

- Store: raw evidence remains in refs/artifacts.
- Pack: Mermaid + node index are bounded injection candidates.
- Observe: node IDs and refs provide inspectable receipts.

## Absorbed from TencentDB-Agent-Memory

- symbolic short-term task canvas
- node-id drill-down posture
- top summary → structured index → raw evidence pattern
- L0/L1/L2/L3 vocabulary as advisory analysis language

## Rejected / not absorbed

- no Tencent plugin install
- no npm `postinstall` runtime patch
- no automatic persona/L3 authority writes
- no backend replacement
- no Gateway restart or config change

## Files changed by this line

- `README.md`
- `openclaw_mem/cli.py`
- `openclaw_mem/symbolic_canvas.py`
- `tests/test_symbolic_canvas.py`
- `docs/symbolic-canvas.md`
- `docs/tencentdb-agent-memory-adoption-review.md`
- `docs/specs/tencentdb-agent-memory-absorption-blade-map-v0.md`
- `handoffs/receipts/2026-05-15_tencentdb-agent-memory-absorption/*`
- WAL: `/root/.openclaw/workspace/WAL/openclaw-mem-tencentdb-agent-memory-absorption/20260515T1433Z-tencentdb-agent-memory-absorption.md`

## Independent review resolution

Review verdict: symbolic-canvas passes feature boundary; do not mix unrelated existing Qdrant/backend dirty files into this closure.

Resolved items:

- Scoped closure to symbolic-canvas files only.
- Treated existing Qdrant/backend dirty files as unrelated pre-existing work, not part of this line.
- Added fail-closed duplicate source-id behavior.
- Added counterfactual CLI tests for malformed input and stdin.

## Verification receipts

Focused tests:

```bash
uv run --python 3.13 --frozen pytest tests/test_symbolic_canvas.py tests/test_cli.py -q
```

Result: `143 passed, 22 subtests passed`.

Additional checks:

```bash
python3 -m py_compile openclaw_mem/symbolic_canvas.py openclaw_mem/cli.py
```

Result: passed.

```bash
git diff --check -- README.md docs/symbolic-canvas.md docs/specs/tencentdb-agent-memory-absorption-blade-map-v0.md docs/tencentdb-agent-memory-adoption-review.md openclaw_mem/cli.py openclaw_mem/symbolic_canvas.py tests/test_symbolic_canvas.py
```

Result: passed.

CLI smoke:

- `symbolic-canvas-smoke.json`: `ok=true`, `nodes=4`, `missing_refs=0`
- `malformed-cli.stdout.json`: bounded JSON error, exit `2`
- `bad-json-cli.stdout.json`: bounded JSON error, exit `2`

## Five-qi stale-rule sweep

Surfaces checked:

- `README.md`
- `docs/symbolic-canvas.md`
- `docs/tencentdb-agent-memory-adoption-review.md`
- `docs/specs/tencentdb-agent-memory-absorption-blade-map-v0.md`
- `openclaw_mem/cli.py`
- `tests/test_symbolic_canvas.py`

Retired/amended stale rules: none found. New docs explicitly state this is not a plugin installer, not a Gateway patch, not a persona writer, and not a backend replacement.

## Topology delta

Unchanged. No OpenClaw Gateway config, plugin manifest, runtime backend, cron, or live memory topology changed as part of this line.

## Remaining follow-up

Optional next slices only:

1. Pack adapter for symbolic-canvas artifacts as a bounded `ContextPack` source.
2. Command-aware compaction bridge that emits trace JSON without live Gateway patching.
3. Dream Lite advisory reviewer for scenario/persona-style summaries without authority writes.
4. Benchmark fixture comparing verbose receipts vs symbolic-canvas injection.
