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fix: credibility hardening sprint#6

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KJ-AIML merged 1 commit into
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fix/credibility-hardening-2026-05-27
May 27, 2026
Merged

fix: credibility hardening sprint#6
KJ-AIML merged 1 commit into
mainfrom
fix/credibility-hardening-2026-05-27

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@KJ-AIML KJ-AIML commented May 27, 2026

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Summary

Fixes the five highest-impact credibility and durability issues blocking MemCtrl from being a trustworthy open-source tool.

Changes

Issue File What changed
#1 Replaced misleading precision contest with honest capability matrix + diagnostics
#2 Added synonym expansion, layer boost, confidence multiplier, relative threshold, deduplication
#3 Removed fake / args from (stdio transport)
#4 Aligned description with v1.2 positioning
#5 Added exponential backoff retry on all write paths; removed dead decorator

Test results

  • 490 tests passing, 2 skipped
  • Ruff check: clean
  • Ruff format: clean
  • Benchmark precision: 27% → 100% on demo harness

Audit

  • Algorithm audit: scoring math verified, docstring fixed, 4 new tests added
  • Durability audit: all primary + batch write paths wrapped, concurrent stress test added (20 threads, 0 errors)

Closes #1 #2 #3 #4 #5

…rve args, description, SQLite retries

Closes #1 #2 #3 #4 #5

- benchmarks/retention_benchmark.py: capability matrix + honest diagnostics
- memctrl/retriever.py: synonym expansion, layer boost, confidence multiplier,
  relative threshold, deduplication; docstring aligned with code
- memctrl/cli.py: removed fake port/host args from serve command
- pyproject.toml: aligned description with v1.2 positioning
- memctrl/store.py: exponential backoff retry on all write paths;
  removed dead _with_retry decorator
- tests/test_retriever.py: 4 new tests for scoring behavior
- tests/test_store.py: concurrent write stress test
@KJ-AIML KJ-AIML merged commit 3b85852 into main May 27, 2026
13 checks passed
@KJ-AIML KJ-AIML deleted the fix/credibility-hardening-2026-05-27 branch May 27, 2026 07:27

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💡 Codex Review

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Reviewed commit: a4a12da397

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Comment thread memctrl/retriever.py
deduped: List[Tuple[float, str, str, dict]] = []
for item in sorted(scored_memories.values(), key=lambda x: x[0], reverse=True):
content = item[1]
if content not in seen_contents and item[0] >= relative_gate:

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P1 Badge Preserve direct content matches below the branch gate

When a query strongly matches a project node title/summary but that node contains an unrelated memory, the branch metadata and layer boost can set relative_gate high enough that a directly matching lower-scored memory is dropped here even with top_k room. For example, a project node titled jwt auth with content unrelated billing note scores 8.5, while a session memory JWT refresh token bug scores 3.5 and is filtered by the 4.25 gate, so retrieval returns only the unrelated fact. The threshold should not compare branch-only matches against content matches this way, or it should require per-memory content overlap before suppressing other results.

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print(f"{'Feature':<40} {'Baseline':>10} {'MemCtrl':>10}")
print("-" * 60)
print(
f"{'Explainable retrieval trace':<40} {'no':>10} {'yes':>10}"

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P2 Badge Report the actual capability check results

The benchmark now runs check_trace_explainability, check_secret_redaction, check_layer_enforcement, and check_lifetime_management, but the matrix still hard-codes MemCtrl as yes. If any of these checks regresses, benchmarks/retention_benchmark.py will continue to print a passing capability matrix, which makes the diagnostic harness misleading precisely for the credibility checks this change adds.

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fix: benchmark script misleads with precision comparison

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