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