Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库，系统性整理了与 大模型记忆（LLM Memory）与智能体记忆（Agent Memory） 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。

A collection of pre-build wrappers over common RAG systems like ChromaDB, Weaviate, Pinecone, and othersz!

LangGraph Mastery Playbook: guided, code-first lessons for building memory-aware LLM agents and workflows with LangGraph, TrustCall, and LangChain.

A fast, accurate, and easy-to-integrate memory simulator that model memory system performance with bandwidth--latency curves.

🧠 AI Second Brain — 100% Local Knowledge Management Private, self-hosted second brain. Store, search, and synthesize documents, images, and ideas with local LLMs (LLaVA, CLIP) and PostgreSQL + pgvector. Features multimodal search, knowledge graphs, gDrive streaming, and real-time analysis — all offline, no API keys, no cloud, no limits.

Experimental study and analysis on the effect of using a wide range of different supply voltage values on the reliability, latency, and retention characteristics of DDR3L DRAM SO-DIMMs

A PyTorch library that replaces standard replay buffers with a learnable memory system.

An auxiliary system for language models that integrates a vector-based retrieval/memory system that metabolizes inference history based on a symbiotic score.

Contextual Memory Intelligence for AI Systems - Persistent memory, cognitive tools, and adaptive reasoning capabilities for LLMs (evolved from Clay-CXD)

Synapse Context Engine is a hypergraph-based AI memory architecture for persistent context, coherent reasoning, and long-term memory, designed as a transparent and safety-aware alternative to traditional RAG systems.

Transform GitHub Copilot into a sophisticated AI learning partner with meta-cognitive awareness, persistent memory, dual-mind processing, and cross-project knowledge sharing. VS Code extension.

Layered memory system for LLM agents using semantic, episodic, and procedural memory with Qdrant-backed long-term storage.

🧠 Synapse - Supercharge your AI coding assistants with memory, context, MCP tools, and intelligent routing. Works with Cline, Roo, Cursor, and any OpenAI-compatible tool. Just change the API endpoint and get superpowers! ✨

Tool for integrating Mess (https://ieeexplore.ieee.org/document/10764561) functionalities with the Paraver tool (https://github.com/bsc-performance-tools/paraver-kernel) in order to help users understand memory system performance and quantify the pressure their applications put to that system.

Code Repository of the ASPLOS-2022 Paper on Randomized Row Swap

Ignis is a locally-ran AI assistant that combines advanced cognitive memory systems with dynamic personality evolution - all while maintaining complete privacy on your hardware.

A lightweight, pluggable memory backend for agent-based simulations. Supports temporal data, experience replay, and persistent state logging

🧠 Enhance language models with a vector-based memory system that processes inference history using a symbiotic score for improved performance.

A context-aware, emotionally adaptive AI framework with memory, entity routing, and narrative continuity built as a personal AI companion system.