Sam Valladares
ce520bb246
chore: license AGPL-3.0, zero clippy warnings, CHANGELOG through v1.6.0
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License:
- Replace MIT/Apache-2.0 with AGPL-3.0-only across all crates and npm packages
- Replace LICENSE file with official GNU AGPL-3.0 text
- Remove LICENSE-MIT and LICENSE-APACHE
Code quality:
- Fix all 44 clippy warnings (zero remaining)
- Collapsible if statements, redundant closures, manual Option::map
- Remove duplicate #[allow(dead_code)] attributes in deprecated tool modules
- Add Default impl for CognitiveEngine
- Replace manual sort_by with sort_by_key
Documentation:
- Update CHANGELOG with v1.2.0, v1.3.0, v1.5.0, v1.6.0 entries
- Update README with v1.6.0 highlights and accurate stats (52K lines, 1100+ tests)
- Add fastembed-rs/ to .gitignore
- Add fastembed-rs to workspace exclude
1115 tests passing, zero warnings, RUSTFLAGS="-Dwarnings" clean.
2026-02-19 03:00:39 -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
3fce1f0b70
feat: v2.0 distribution — IDE integrations, zero-config installer, README overhaul
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- Add integration guides for Xcode 26.3, Cursor, VS Code, JetBrains, Windsurf
- First cognitive memory server with documented Xcode 26.3 MCP support
- Add npx @vestige/init — zero-config CLI that auto-detects IDEs and injects config
- Overhaul README: "The open-source cognitive engine for AI"
- Add "Why Not Just Use RAG?" comparison and cognitive science stack docs
- Update license badge to AGPL-3.0
2026-02-12 17:18:15 -06:00
