🧠 Production-grade memory sidecar for AI agents — gbrain + Hindsight + 3-tier recall. Agent-agnostic, battle-tested. | 生产级外挂记忆系统，兼容Hermes/Claude/Cursor等任意AI智能体
Architectural enhancement suite for Hermes Agent: vector memory, adaptive soul, and workflow classification.
AI 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.
A functionally operational, mathematically unhinged system for achieving 10× effective memory amplification on Apple Silicon using quantized fractal compression, complex-plane KV decomposition, and Euler-aligned swap geometry.
A sturdy, multimodal AI desktop companion for Windows. Features long-term memory, multi-profile personas, voice interactions, and local tools. Powered by Gemini 2.5. 🐴✨
Cortex — self-evolving memory and agent fleet for Claude Code
Agent memory runtime: short/long-term context, vector persistence, compression, and personalization primitives.
EVM — Evolution Vector Memory: deterministic interaction-state continuity and bounded identity evolution framework for AI systems.
A tool-calling AI agent with a hand-written loop: sandboxed code execution, scoped file I/O, web search, long-term vector memory, and failure guardrails (circuit breaker, iteration limits). Keyless mock LLM or Groq. Python/FastAPI.
Autonomous multi-agent orchestration framework using LangGraph, Groq/Llama3, and vector-memory retrieval for goal-driven AI execution workflows.
A self-evolving, tri-brain autonomous AI agent featuring local subconscious memory, generative SVG art, and conscious reasoning.
Plug-and-play Qdrant vector memory plugin for Hermes Agent — 8 tools, 10 modules, 58 tests. Semantic long-term memory via local Qdrant + any OpenAI-compatible embedding API. Self-healing. One-minute install.
DIKW Memory Plugin - 基于 DIKW 模型的智能记忆管理系统 for Hermes Agent
Local AI coding assistant for macOS with voice commands, vector memory, and Gemini-style surgical editing.
Four-agent workflow planner with shared vector memory and a critic-refine loop. Runs fully offline via a pluggable LLM client, and emits an auditable reasoning trace.
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