🕸 Cross-Layer Accountability

The accountability layer for the autonomous-agent era. Mneme links code ↔ database ↔ API ↔ business rules into one deterministic graph — and asks the questions a single-layer tool can't. No LLM in the analysis path — every finding is reproducible and signed.

npm i -g mneme-ai  &&  mneme review
mneme review · loading a live example…
cloning a real public repo + running the cross-layer suite, live…

The 10 checks

each one answers a question nothing else answered — and your AI agent gets them all as MCP tools, automatically

🔍
Codebase Review
the one-command report: grade + risk + authz + tests
mneme review
🛰
Impact Radar
see a change ripple across code · data · api · business
mneme graph view <fn>
Drop Safety
what breaks if you remove this table? SAFE / RISKY / CRITICAL
mneme graph reverse <table>
💥
Agent Collision
two agents/branches colliding across DIFFERENT files — git is blind to it
mneme collision --branches a,b
🤝
Scope Covenant
did the agent stay in the scope it declared? signed, cross-vendor
mneme scope verify
🏷
Commit Honesty
a 'fix typo' that secretly rewrites a payment keystone
mneme commit-check
🧪
Test Gap
the keystone (sole writer to a table) no test even mentions
mneme testgap
🎯
Risk Hotspots
every signal fused into one 'what to guard first' ranking
mneme risk
🔒
Authz Gap
an endpoint that writes a sensitive table with no auth on the path
mneme authz
🧭
Onboarding Path
the real data-flows to read first — orient in a new repo fast
mneme onboard

📊 Measured extractor accuracy — precision 100% · macro-F1 0.99 across 8 dimensions on a labeled corpus (it proves the accuracy, doesn't claim it) — audit /api/accuracy

Deterministic · signed · local-first · works on JS/TS · Python · Go · Rust · Ruby · Java · C# · the source never leaves your machine (the demo clones to a temp dir, scans, and deletes).
npm · /review · /radar · honest: each finding is a candidate to inspect, not a proof of a runtime bug.