⚡ Welcome to Spector: Ultra-Low-Latency, Neuromorphic Cognitive Memory Substrate for Autonomous Agents

[sbharatjoshi]

⚡ Welcome to Spector Cognitive Memory

We are excited to welcome the AI and systems engineering community to the Spector Cognitive Memory repository!

Spector is a high-performance, neuromorphic cognitive memory engine designed from bare metal up for persistent autonomous agents and multi-agent systems.

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🎯 What Makes Spector Different?

Unlike traditional "agent memory" wrappers that orchestrate multiple external databases (vector stores, document databases, property graphs), Spector treats memory as one unified cognitive tissue:

• Ultra-Fast Native Execution: Built on pure Java 25 using the Panama Foreign Function & Memory (FFM) API for zero-allocation off-heap storage.
• SIMD Hardware Acceleration: Hardware-vectorized AVX-512 / ARM Neon instructions execute dense cosine distance, BM25 lexical scoring, and affective signal fusion in ultra-fast in-process scans.
• 4-Tier Cortical Model: Working (bounded context), Episodic (temporal autobiographical log), Semantic (consolidated world facts), and Procedural (executable skills and policies).
• Model Context Protocol (MCP) Native: Direct tool-calling integration for Claude Desktop, Cursor, and agent frameworks.

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🔬 Core Capabilities

1. Signal-Complete Recall (No Truncation Trap): Fuses similarity, importance, decay, storage durability, valence, arousal, tags, and Hebbian graph activation before ranking.
2. Bjork Two-Factor Dynamics: Decoupled non-decreasing Storage Strength ($S$) and decaying Retrieval Strength ($D$), with Desirable Difficulty mechanics.
3. Continuous Knowledge Evolution (CADP): Contradiction-Aware Directional Resolution and dual-speed consolidation.
4. Autonomous Identity (AISME): Damasio's Triad (Proto-Self, Core Self, Autobiographical Self) with real-time affective state stamping.
5. Generative Dreaming & Counterfactual Simulation: Active Systems sleep cycles for memory replay and hypothesis synthesis.

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🤝 Getting Involved

We welcome discussions, feedback, feature ideas, and contributions! Check out:

• 📖 Architecture Documentation
• 💡 Share Ideas
• ❓ Ask Questions & Support