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greptileai / zep

gomain919596e22.8K linessynced 18h ago

Code health

9.1out of 10Excellent

This codebase scores 9.1 out of 10 on defect risk, which we rate excellent. It also scores maintainability 9.4 and static performance risk 9.9 out of 10. The three are scored separately and never blended into one number.

Full health report →
Documentation215pages0 with model-written prose, 215 built from the indexDead code13exportsUnused exports that nothing in the graph reaches
Lines of code
22.8K
Files
203
Symbols
890
Modules
7
Languages
10

Recent activity

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Commits

No commits indexed yet.

Decisions

  • refactor embedding extractor and putMessages codeproposed · 18h ago
  • fix: memstore refactor issue + othersproposed · 18h ago
  • Bughuntingproposed · 18h ago
  • Add retry and timeout to openai callsproposed · 18h ago
  • Session metadataproposed · 18h ago
  • MMR Reranking for Document and Memory Searchproposed · 18h ago

Needs attention

33 open
  • medium severity. Proposedrefactor embedding extractor and putMessages codeAuto-proposed decision awaiting review
  • medium severity. Proposedfix: memstore refactor issue + othersAuto-proposed decision awaiting review
  • medium severity. ProposedBughuntingAuto-proposed decision awaiting review
  • medium severity. ProposedAdd retry and timeout to openai callsAuto-proposed decision awaiting review
  • medium severity. ProposedSession metadataAuto-proposed decision awaiting review

Composition

Open the graph →
go 63%html 16%yaml 6%javascript 6%markdown 3%Other 5%

Explore this codebase

  • Docs215 pages across 7 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files203 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 2 entry points→
  • Code healthPer-file scores, 218 open findings, coverage and refactoring targets→
  • Knowledge graphEntities, communities, and the paths between them→
  • Change couplingFiles that keep changing together, mined from commit history→
  • CommitsChange-risk ranked history with agent provenance→
  • ContributorsBus factor, per-file maintainers, and the human/agent split→
  • StatsSize class, origin, lifetime churn, rhythm and records→
  • CostsWhat indexing this snapshot cost, by model and by run→