Native Model Context Protocol (MCP) server providing typed state-action schema arbitration, deterministic action dispatch, and token-saving pre-escalation filters.
alphaparkinc/genpark-meta-muse-episodic-memory-graph-mcpNative Model Context Protocol (MCP) server fusing Meta ambient multimodal perception with Muse continuous episodic memory streams and Ebbinghaus recency decay.
alphaparkinc/genpark-jev-typed-state-action-router-mcpNative Model Context Protocol (MCP) server providing typed state-action schema arbitration, deterministic action dispatch, and token-saving pre-escalation filters.
Alpha-Park/genpark-meta-muse-episodic-memory-graph-mcpNative Model Context Protocol (MCP) server fusing Meta ambient multimodal perception with Muse continuous episodic memory streams and Ebbinghaus recency decay.
alphaparkinc/genpark-instinct-proactive-intent-reflex-skillInstinct AI-inspired zero-prompt proactive personal agent detecting user attention cues, computing intent probabilities, and executing guarded dry-run actions.
alphaparkinc/genpark-personal-agent-dual-cognition-orchestrator-skillMaster dual-process cognitive orchestrator uniting Meta ambient perception, Muse episodic memory, Instinct proactive agency, and Jev System-1 decision routing.
alphaparkinc/genpark-jev-system1-subconscious-decision-skillJev-inspired System-1 subconscious cognitive decision layer resolving typed routing, loop-stall arbitration, and tool safety checks at sub-millisecond latency.
Alpha-Park/genpark-jev-system1-subconscious-decision-skillJev-inspired System-1 subconscious cognitive decision layer resolving typed routing, loop-stall arbitration, and tool safety checks at sub-millisecond latency.
Alpha-Park/genpark-personal-agent-dual-cognition-orchestrator-skillMaster dual-process cognitive orchestrator uniting Meta ambient perception, Muse episodic memory, Instinct proactive agency, and Jev System-1 decision routing.
Alpha-Park/genpark-instinct-proactive-intent-reflex-skillInstinct AI-inspired zero-prompt proactive personal agent detecting user attention cues, computing intent probabilities, and executing guarded dry-run actions.