Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for people who want a portable memory layer across multiple AI tools, especially when today's note apps still feel disconnected from the agent workflows they are supposed to support.
Who should use it
Who should skip it
Skip liliu-z/stashbase for now if you are only tracking items with a 'try now' verdict.
About this signal
liliu-z/stashbase is tracked by RepoRadar as a knowledge base in the Knowledge / Memory section. It was first seen on 2026-07-01 and last updated on 2026-07-01. The current verdict is 'worth watch' with a Silver tier and moderate setup difficulty. The standout signals for liliu-z/stashbase are open-source/build quality (8.4) and workflow potential (8.1), while maturity (5.6) trails — that balance shapes where it fits best. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned liliu-z/stashbase a composite score of 7.7 out of 10, placing it in the Silver tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 1.0 and never affects the composite score or tier. The risk label of 'conditional' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.
Risk explanation
Imported documents, screenshots, and videos become searchable memory for connected agents, so the first library should stay limited to files you are comfortable exposing to that context layer; The project is explicitly early alpha and currently supports macOS arm64 and Linux x86_64 before Windows, so teams should expect rough edges during first evaluation.