AI/ML●●Solid
MemOperator-4B
Specialized memory model beating GPT-4o-mini on locomo benchmarks while running locally.
Niche GemBig Brain
MemTensor
201mo ago
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GitHub Repository
The Mind Palace for AI Agents - HIPAA-hardened Cognitive Architecture with on-device LLM (prism-coder:7b), Hebbian learning, ACT-R spreading activation, adversarial evaluation, persistent memory, multi-agent Hivemind and visual dashboard. Zero API keys required.
142 starsTypeScript
Prism Coder – Qwen3.5-14B fine-tuned for MCP tool-routing decisions
by dcostenco4·May 20, 2026·2 points·0 comments
AI Analysis
●●●BangerWizardryBig BrainRabbit Hole
Hebbian learning and ACT-R spreading activation bring actual cognitive science to agent memory.
Strengths
- •Implements distinct episodic, semantic, and procedural memory stores for smarter retrieval.
- •Fine-tuned Qwen models enable fully offline tool-calling without leaking context to APIs.
- •Proactive session drift detection auto-corrects agents when they lose track of goals.
Weaknesses
- •Cognitive architecture concepts like 'spreading activation' may overwhelm casual users.
- •Heavy reliance on local GPU resources could limit adoption for users without powerful hardware.
Category
Target Audience
AI agent developers and power users
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Mem0 · Zep · LangChain Memory
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