Sam Valladares
495a88331f
feat: Vestige v1.6.0 — 6x storage reduction, neural reranking, instant startup
...
Four internal optimizations for dramatically better performance:
1. F16 vector quantization (ScalarKind::F16 in USearch) — 2x storage savings
2. Matryoshka 256-dim truncation (768→256) — 3x embedding storage savings
3. Convex Combination fusion (0.3 keyword / 0.7 semantic) replacing RRF
4. Cross-encoder reranker (Jina Reranker v1 Turbo via fastembed TextRerank)
Combined: 6x vector storage reduction, ~20% better retrieval quality.
Cross-encoder loads in background — server starts instantly.
Old 768-dim embeddings auto-migrated on load.
614 tests pass, zero warnings.
2026-02-19 01:09:39 -06:00
Sam Valladares
927f41c3e4
feat: Vestige v1.5.0 — Cognitive Engine, memory dreaming, graph exploration, predictive retrieval
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28-module CognitiveEngine with full neuroscience pipeline on every tool call.
FSRS-6 now fully automatic: periodic consolidation (6h timer + inline every
100 tool calls), real retrievability formula, episodic-to-semantic auto-merge,
cross-memory reinforcement, Park et al. triple retrieval scoring, ACT-R
base-level activation, personalized w20 optimization.
New tools (19 → 23):
- dream: memory consolidation via replay, discovers hidden connections
- explore_connections: graph traversal (chain, associations, bridges)
- predict: proactive retrieval based on context and activity patterns
- restore: memory restore from JSON backups
All existing tools upgraded with cognitive pre/post processing pipelines.
33 files changed, ~4,100 lines added.
2026-02-18 23:34:15 -06:00
Sam Valladares
f9c60eb5a7
Initial commit: Vestige v1.0.0 - Cognitive memory MCP server
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FSRS-6 spaced repetition, spreading activation, synaptic tagging,
hippocampal indexing, and 130 years of memory research.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-25 01:31:03 -06:00
