Structured memory for agents: weighted retrieval and replayable evidence paths
MCP server that extends traditional knowledge graphs with structural tension charts enabling coaia-spiral persistent memory for Claude through a local knowledge graph - fork focused on local development
MemU is an agentic memory framework for LLM and AI agent backends: it ingests multi-modal data, extracts and organizes it into structured memory and supports both RAG and LLM-based retrieval.
RefNet is a 2M-parameter edge-aware transformer for structured introspection and reflective evaluation within Structured Reflective Cognitive Architecture (SRCA/SRAI) systems. It predicts cognitive metrics (valence, self-model drift, thought quality) and recommends introspective actions (consolidate, recall, reframe, evaluate_alignment)
Structured Memory for LLM-Driven Development — 90% token reduction for code navigation
Experimental local‑first AI runtime with multi‑clock reasoning and structured memory consolidation. Designed for extensible LLM workflows and reusable reasoning patterns.
⚛️ Atomic Blueprint (ab) - The App-Dev Agent Memory Kernel. Give your AI agents a memory that actually remembers.
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