Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for builders who want persistent per-user agent memory without hand-rolling storage, retrieval, and citation plumbing, especially when they need one simple layer that can remember prior sessions and uploaded context.
Who should use it
Who should skip it
Consider Parcle-AI/parcle-memory lower priority if you already have a working solution in this category.
About this signal
Parcle-AI/parcle-memory is tracked by RepoRadar as a memory tool in the Agents / Memory section. It was first seen on 2026-06-29 and last updated on 2026-06-29. The current verdict is 'try now' with a Gold tier and easy setup difficulty. Across RepoRadar's eight signals, Parcle-AI/parcle-memory is strongest on workflow potential (9.9) and practical usefulness (9.0) and weakest on maturity (6.6) — a profile worth weighing against your own priorities. 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 Parcle-AI/parcle-memory a composite score of 8.4 out of 10, placing it in the Gold 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 vet an AI agent or MCP server before you wire it in for the checklist behind this score.
Risk explanation
The whole value proposition is ingesting conversations and files, so start with non-sensitive data until you are comfortable with its retention and access boundaries.