Sam Valladares
c6090dc2ba
fix: v2.0.1 release — fix broken installs, CI, security, and docs
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Critical fixes:
- npm postinstall.js: BINARY_VERSION '1.1.3' → '2.0.1' (every install was 404ing)
- npm package name: corrected error messages to 'vestige-mcp-server'
- README: npm install command pointed to wrong package
- MSRV: bumped from 1.85 to 1.91 (uses floor_char_boundary from 1.91)
- CI: removed stale 'develop' branch from test.yml triggers
Security hardening:
- CSP: restricted connect-src from wildcard 'ws: wss:' to localhost-only
- Added X-Frame-Options, X-Content-Type-Options, Referrer-Policy, Permissions-Policy headers
- Added frame-ancestors 'none', base-uri 'self', form-action 'self' to CSP
- Capped retention_distribution endpoint from 10k to 1k nodes
- Added debug logging for WebSocket connections without Origin header
Maintenance:
- All clippy warnings fixed (58 total: redundant closures, collapsible ifs, no-op casts)
- All versions harmonized to 2.0.1 across Cargo.toml and package.json
- CLAUDE.md updated to match v2.0.1 (21 tools, 29 modules, 1238 tests)
- docs/CLAUDE-SETUP.md updated deprecated function names
- License corrected to AGPL-3.0-only in root package.json
1,238 tests passing, 0 clippy warnings.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-01 20:20:14 -06:00
Sam Valladares
495a88331f
feat: Vestige v1.6.0 — 6x storage reduction, neural reranking, instant startup
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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
