.noscript-content { display: block; font-family: Inter, sans-serif; max-width: 800px; margin: 0 auto; padding: 2rem; color: #1A1C1E; } .noscript-content h1 { font-size: 2.5rem; font-weight: 900; margin-bottom: 1rem; } .noscript-content h2 { font-size: 1.5rem; margin-top: 2rem; margin-bottom: 0.5rem; } .noscript-content p { margin-bottom: 1rem; line-height: 1.6; } .noscript-content ul, .noscript-content dl { margin-bottom: 1rem; } .noscript-content li { margin-bottom: 0.25rem; } .noscript-content dt { font-weight: bold; margin-top: 1rem; } .noscript-content dd { margin-left: 1rem; margin-bottom: 0.5rem; } .noscript-content pre { background: #f5f5f5; padding: 1rem; overflow-x: auto; font-family: monospace; } .noscript-content table { border-collapse: collapse; width: 100%; margin-bottom: 1rem; } .noscript-content th, .noscript-content td { border: 1px solid #ccc; padding: 0.5rem; text-align: left; } .noscript-content th { background: #f5f5f5; }

Squish vs Engram: Local-first AI memory compared

Compare Squish vs Engram. Graph+vector search vs SQLite FTS5. No size limits vs 30KB cap.

Squish documentation