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mem0ai/mem0

https://github.com/mem0ai/mem0 · scanned 2026-05-31 01:24 UTC (2 weeks, 1 day ago) · 10 languages

946 raw signals (277 security + 669 graph) 11/13 scanners ran 94th percentile · Typescript · large (100-500K LoC) System graph score 48 (higher by 40)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 1 day ago · v2 · last Δ -0.3 (diff) · 365 actionable findings from 2 signal sources. 202 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 60.0 0.15 9.00
security_score 100.0 0.25 25.00
testing_score 100.0 0.20 20.00
documentation_score 93.0 0.15 13.95
practices_score 84.0 0.15 12.60
code_quality 68.0 0.10 6.80
Overall 1.00 87.3
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
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Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Duplicates & near-duplicates 3 findings
What it is: Same function copy-pasted into multiple modules with minor variations.
Why it matters: Each copy drifts independently — bug fixes apply to one, miss the others.
How AI causes it: AI completes the same pattern in each file rather than refactoring to a shared helper.
Fix approach: Extract the duplicated logic into the most general module both call sites already import. Add tests at the helper level.
3 matching findings on this repo
  • low Near-duplicate function bodies in 4 places
  • low Near-duplicate function bodies in 2 places repo-level
  • low Near-duplicate function bodies in 3 places repo-level
View all duplicates & near-duplicates findings →
Legacy markers 1 finding
What it is: TODO, FIXME, XXX, HACK comments. Often indicate a known-broken path the author meant to fix.
Why it matters: Each marker is an unfinished thought. Production code shouldn't ship with debt that's documented but not tracked.
How AI causes it: AI mirrors the style of the codebase, so existing TODOs propagate into new code.
Fix approach: Convert each into a ticket. Delete the comment when the ticket lands. Use a pre-commit hook to block new TODOs without an issue link.
1 matching finding on this repo
  • low Old/deprecated-named symbol `get_fact_retrieval_messages_legacy` in mem0/memory…
View all legacy markers findings →
Commented-out code 12 findings
What it is: Lines of source that were intentionally disabled but never deleted.
Why it matters: Git already remembers history — commented code rots, becomes wrong, and adds noise to diffs.
How AI causes it: AI sometimes comments out broken code instead of fixing it. Reviewers approve out of inertia.
Fix approach: Delete. Trust `git log`. If you really need to remember, save it in a notes file under `docs/`.
12 matching findings on this repo
  • info Commented-code block (5 lines) in openclaw/index.ts:418
  • info Commented-code block (5 lines) in mem0/vector_stores/qdrant.py:315
  • info Commented-code block (5 lines) in mem0/vector_stores/s3_vectors.py:125
  • info Commented-code block (5 lines) in mem0/vector_stores/milvus.py:195
  • info Commented-code block (5 lines) in mem0/memory/telemetry.py:139
  • info Commented-code block (6 lines) in mem0/llms/aws_bedrock.py:585
  • info Commented-code block (5 lines) in cli/node/src/commands/init.ts:369
  • info Commented-code block (5 lines) in cli/python/src/mem0_cli/config.py:182
  • info Commented-code block (9 lines) in mem0-plugin/scripts/parse_export_file.py:48
  • info Commented-code block (6 lines) in mem0-ts/src/oss/src/config/manager.ts:60
  • info Commented-code block (5 lines) in mem0-ts/src/oss/src/vector_stores/langchain.t…
  • info Commented-code block (5 lines) in mem0-ts/src/oss/src/memory/index.ts:1047
View all commented-out code findings →
Config drift 19 findings
What it is: Settings duplicated across env files, Docker compose, K8s, and code defaults, all with slightly different values.
Why it matters: Production behaviour depends on whichever copy your loader reads first. Subtle bugs in staging that don't reproduce in dev.
How AI causes it: AI writes new config from memory rather than reading the existing source.
Fix approach: Pick one source of truth (env vars + a settings module). Have every other place import from there. Lint for duplicates in CI.
12 matching findings on this repo
  • low File has no detected symbols: vercel-ai-sdk/jest.config.js
  • low File has no detected symbols: vercel-ai-sdk/tsup.config.ts
  • low File has no detected symbols: vercel-ai-sdk/config/test-config.ts
  • low File has no detected symbols: openmemory/api/app/config.py
  • low File has no detected symbols: openmemory/ui/tailwind.config.ts
  • low Stray `console.log` in TS/JS — cli/node/src/commands/config.ts:42
  • low Very large file: mem0/configs/prompts.py (1062 lines)
  • info Commented-code block (5 lines) in cli/python/src/mem0_cli/config.py:182
  • info Commented-code block (6 lines) in mem0-ts/src/oss/src/config/manager.ts:60
  • high FastAPI PUT `update_configuration` without auth dependency — openmemory/api/app… openmemory/api/app/routers/config.py:141
  • high FastAPI PATCH `patch_configuration` without auth dependency — openmemory/api/ap… openmemory/api/app/routers/config.py:159
  • high FastAPI POST `reset_configuration` without auth dependency — openmemory/api/app… openmemory/api/app/routers/config.py:180
View all config drift findings →
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