Score8.0
Popularity558.0
Risklow
TierGold
Score breakdown
Usefulness8.4
Novelty10.0
Momentum10.0
Maturity8.8
Open-source/build7.4
Evidence7.2
Workflow potential9.1
Setup ease6.5
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for AI engineers, agent developers, developers using Claude Code / Cursor / Codex / Gemini CLI / OpenCode, and teams that want a single cross-agent persistent memory layer with local SQLite + FTS5 + vector search, deterministic compression, and progressive MCP retrieval, because JuliusBrussee/cavemem is an MIT cross-agent persistent memory layer for coding assistants that hooks fire at sess
Who should use it
Who should skip it
Skip if the source link, docs, or setup requirements do not match your workflow.
Risk explanation
Risk label needs manual review.