MCP servers and skills: search, filter by where they run, and compare.
1–9 of 9 tools for “hopfield-network”
Clear allAI agent memory using Modern Hopfield Networks — no LLM calls, no database, one matrix multiply. MCP server for Cursor, Claude Code, and other AI coding agents.
SkillMIT★ 5No key
Metacognitive AI architecture combining Modern Hopfield Networks with entropy-based confusion detection for insight-like problem solving. Implements energy-based search, adaptive beta scaling, and a C
MCPLink only★ 5
Biologically-inspired persistent memory engine for Claude Code. 26 cognitive subsystems, Hopfield networks, predictive coding, causal discovery, successor representations, all running locally over SQL
PythonMIT★ 61No key
Dynamic agent memory for LLM agents: 7 neuroscience-inspired layers (working, episodic, semantic, procedural) with FSRS spaced repetition and memory consolidation. Zero-dependency TypeScript library,
Node.jsApache-2.0★ 27No key
Intelligent API routing and cost-visibility layer for AI agents via MCP
Node.jsMIT★ 1Few starsNo key
Local-first associative memory and vector search for AI agents, with Rust, Python, Node.js, and MCP integrations.
Node.jsApache-2.0★ 21No key
Local memory, context, and trust-boundary layer for cloud LLM coding agents
SkillApache-2.0★ 2Few starsNo key
Graph-based memory system for AI agents — cognitive science meets deep learning
PythonMIT★ 1Few starsNo key
Personal markdown memory for coding agents — brain-modelled curator, three retrieval tiers, lives on your disk.
PythonMIT★ 4Few starsNo key
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