memory-retrieval

For Claude.

Official implementation of "LayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video Generation."

MCP Context Server — a FastMCP-based server providing persistent multimodal context storage for LLM agents.

MemoGuard: An Adaptive Runtime for Guarding Against Memory Traps in Communication-Limited Robot Navigation

Durable hybrid memory for AI agents: vector + BM25 + temporal + graph recall, exposed through MCP, HTTP, and Python.

Memory Utility Networks (MUN): A research-oriented framework for utility-based memory retrieval and example selection in long-horizon decision making and in-context learning. Includes reproducible experimentation, validation audits, and ablation studies investigating learned memory utility.

mRAG (micro-RAG) is an agnostic backend memory encoder and retrieval system designed to segment memories into basic short form belief statements that can be retrieved and injected directly into an Agent's context using multi-head queries to inject only the most highly relevant beliefs with minimal excess.

Selective memory for AI agents importance-scored, self-decaying memory that forgets what doesn't matter so retrieval stays fast and relevant over long-running sessions.

把单个 AI 助手升级为可扩展的多专家协作运行时， 带工业级记忆检索、会话管理和完整的开发者可观测性。

Replication of Recanatesi et al. (2015) https://www.frontiersin.org/articles/10.3389/fncom.2015.00149/full

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Evidence-grounded hybrid long-term memory retrieval for AI agents. Developed for the Agent Memory Challenge Academic Textual Memory track (Rank 5).

Local-first AI memory store with synaptic dynamics (strengthen/decay/prune) and neighbor-based pattern expansion (L2).

ChronoMind is a temporal memory retrieval system that combines Qdrant vector search, Neo4j graph traversal, BM25 lexical retrieval, learned ranking, and timeline reconstruction to search personal memories with causal and temporal reasoning.