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.
This commit is contained in:
Sam Valladares 2026-02-18 23:34:15 -06:00
parent 3fce1f0b70
commit 927f41c3e4
34 changed files with 4302 additions and 266 deletions

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//! CognitiveEngine — Stateful neuroscience modules that persist across tool calls.
//!
//! v1.5.0: Wires ALL unused vestige-core features into the MCP server.
//! Each module is initialized once at startup and shared via Arc<Mutex<>>
//! across all tool invocations.
use vestige_core::{
// Neuroscience modules
ActivationNetwork, SynapticTaggingSystem, HippocampalIndex, ContextMatcher,
AccessibilityCalculator, CompetitionManager, StateUpdateService,
ImportanceSignals, NoveltySignal, ArousalSignal, RewardSignal, AttentionSignal,
// Advanced modules
ImportanceTracker, ReconsolidationManager, IntentDetector, ActivityTracker,
MemoryDreamer, MemoryChainBuilder, MemoryCompressor, CrossProjectLearner,
AdaptiveEmbedder, SpeculativeRetriever, ConsolidationScheduler,
// Search modules
Reranker, RerankerConfig,
};
use vestige_core::search::TemporalSearcher;
use vestige_core::neuroscience::predictive_retrieval::PredictiveMemory;
use vestige_core::neuroscience::prospective_memory::{ProspectiveMemory, IntentionParser};
/// Stateful cognitive engine holding all neuroscience modules.
///
/// Lives on McpServer as `Arc<Mutex<CognitiveEngine>>` and is passed
/// to tools that need persistent cross-call state (search, ingest,
/// feedback, consolidation, new tools).
pub struct CognitiveEngine {
// -- Neuroscience --
pub activation_network: ActivationNetwork,
pub synaptic_tagging: SynapticTaggingSystem,
pub hippocampal_index: HippocampalIndex,
pub context_matcher: ContextMatcher,
pub accessibility_calc: AccessibilityCalculator,
pub competition_mgr: CompetitionManager,
pub state_service: StateUpdateService,
pub importance_signals: ImportanceSignals,
pub novelty_signal: NoveltySignal,
pub arousal_signal: ArousalSignal,
pub reward_signal: RewardSignal,
pub attention_signal: AttentionSignal,
pub predictive_memory: PredictiveMemory,
pub prospective_memory: ProspectiveMemory,
pub intention_parser: IntentionParser,
// -- Advanced --
pub importance_tracker: ImportanceTracker,
pub reconsolidation: ReconsolidationManager,
pub intent_detector: IntentDetector,
pub activity_tracker: ActivityTracker,
pub dreamer: MemoryDreamer,
pub chain_builder: MemoryChainBuilder,
pub compressor: MemoryCompressor,
pub cross_project: CrossProjectLearner,
pub adaptive_embedder: AdaptiveEmbedder,
pub speculative_retriever: SpeculativeRetriever,
pub consolidation_scheduler: ConsolidationScheduler,
// -- Search --
pub reranker: Reranker,
pub temporal_searcher: TemporalSearcher,
}
impl CognitiveEngine {
/// Initialize all cognitive modules with default configurations.
pub fn new() -> Self {
Self {
// Neuroscience
activation_network: ActivationNetwork::new(),
synaptic_tagging: SynapticTaggingSystem::new(),
hippocampal_index: HippocampalIndex::new(),
context_matcher: ContextMatcher::new(),
accessibility_calc: AccessibilityCalculator::default(),
competition_mgr: CompetitionManager::new(),
state_service: StateUpdateService::new(),
importance_signals: ImportanceSignals::new(),
novelty_signal: NoveltySignal::new(),
arousal_signal: ArousalSignal::new(),
reward_signal: RewardSignal::new(),
attention_signal: AttentionSignal::new(),
predictive_memory: PredictiveMemory::new(),
prospective_memory: ProspectiveMemory::new(),
intention_parser: IntentionParser::new(),
// Advanced
importance_tracker: ImportanceTracker::new(),
reconsolidation: ReconsolidationManager::new(),
intent_detector: IntentDetector::new(),
activity_tracker: ActivityTracker::new(),
dreamer: MemoryDreamer::new(),
chain_builder: MemoryChainBuilder::new(),
compressor: MemoryCompressor::new(),
cross_project: CrossProjectLearner::new(),
adaptive_embedder: AdaptiveEmbedder::new(),
speculative_retriever: SpeculativeRetriever::new(),
consolidation_scheduler: ConsolidationScheduler::new(),
// Search
reranker: Reranker::new(RerankerConfig::default()),
temporal_searcher: TemporalSearcher::new(),
}
}
}