Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
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Updated
Sep 14, 2026 - TypeScript
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
High-performance AI memory retrieval for local agent history — a Rust search core (SDK / API / JSON CLI) plus a desktop GUI. Tantivy + Jieba keyword search, optional semantic recall, stable Turn/Run/Session/Project IDs.
For Claude.
Semantic retrieval for AI agents: high-recall memory and code search that cuts coding-agent token usage by nearly 50%
Neura lets you run long, tool heavy coding sessions without blowing up token costs by compressing old context into references and only restoring exact data when needed, reducing hallucinations by grounding the model in real, retrievable source data instead of guesswork.
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。
Lightweight cross-platform keystroke memory & instant retrieval system with 3-day rolling auto-pruning and sleek bottom-left popup UI.
让 AI 的记忆不只被保存,也能在下一次对话中真正派上用场。基于 Obsidian 的本地优先、可审计 AI 记忆检索原型。
Provide precise OpenClaw documentation and exact configs to your coding agent for accurate answers without guesswork or summaries.
Minimal starter for hybrid memory retrieval in OpenClaw-style agent workflows.
Replication of Recanatesi et al. (2015) https://www.frontiersin.org/articles/10.3389/fncom.2015.00149/full
Enable persistent memory for Claude that works across crashes and restarts in both Claude Code and Claude Cowork environments.
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