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.
A Codex skill for keeping long AI work on track with summaries, structured memory, and timely clarification.
Local-first persistent memory for Codex with hook-based recall, decay-aware retrieval, structured memory, topic regrouping, and an Obsidian mirror.
Experimental local‑first AI runtime with multi‑clock reasoning and structured memory consolidation. Designed for extensible LLM workflows and reusable reasoning patterns.
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)
⚛️ Atomic Blueprint (ab) - The App-Dev Agent Memory Kernel. Give your AI agents a memory that actually remembers.
Practical methodology for engineering structured long-term memory for AI agents using MemPalace.
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