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https://github.com/samvallad33/vestige.git
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927f41c3e4
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.
24 lines
592 B
JSON
24 lines
592 B
JSON
{
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"name": "vestige",
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"version": "1.5.0",
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"private": true,
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"description": "Cognitive memory for AI - MCP server with FSRS-6 spaced repetition",
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"author": "Sam Valladares",
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"license": "MIT OR Apache-2.0",
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"repository": {
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"type": "git",
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"url": "https://github.com/samvallad33/vestige"
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},
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"scripts": {
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"build:mcp": "cargo build --release --package vestige-mcp",
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"test": "cargo test --workspace",
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"lint": "cargo clippy -- -D warnings",
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"fmt": "cargo fmt"
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},
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"devDependencies": {
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"typescript": "^5.9.3"
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},
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"engines": {
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"node": ">=18"
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}
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}
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