vestige/packages/vestige-mcpb/manifest.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

33 lines
910 B
JSON

{
"manifest_version": "0.2",
"name": "vestige",
"display_name": "Vestige",
"version": "1.5.0",
"description": "AI memory system built on 130 years of cognitive science. FSRS-6 spaced repetition, synaptic tagging, and local-first storage.",
"author": {
"name": "Sam Valladares",
"url": "https://github.com/samvallad33"
},
"repository": {
"type": "git",
"url": "https://github.com/samvallad33/vestige"
},
"license": "MIT",
"server": {
"type": "binary",
"entry_point": "server/vestige-mcp-darwin-arm64",
"mcp_config": {
"command": "${__dirname}/server/vestige-mcp-darwin-arm64",
"args": [],
"env": {},
"platform_overrides": {
"win32": {
"command": "${__dirname}/server/vestige-mcp-win32-x64.exe"
},
"linux": {
"command": "${__dirname}/server/vestige-mcp-linux-x64"
}
}
}
}
}