vestige/packages/vestige-mcp-npm/package.json
Sam Valladares 927f41c3e4 feat: Vestige v1.5.0 — Cognitive Engine, memory dreaming, graph exploration, predictive retrieval
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

37 lines
673 B
JSON

{
"name": "vestige-mcp-server",
"version": "1.5.0",
"description": "Vestige MCP Server - AI Memory System for Claude and other assistants",
"bin": {
"vestige-mcp": "bin/vestige-mcp.js",
"vestige": "bin/vestige.js"
},
"scripts": {
"postinstall": "node scripts/postinstall.js"
},
"keywords": [
"mcp",
"claude",
"ai",
"memory",
"vestige"
],
"author": "Sam Valladares",
"license": "MIT",
"repository": {
"type": "git",
"url": "git+https://github.com/samvallad33/vestige.git"
},
"engines": {
"node": ">=18"
},
"os": [
"darwin",
"linux",
"win32"
],
"cpu": [
"x64",
"arm64"
]
}