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、持续演进的 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.
MCP Persistent memory systems for LLMs - CASCADE 6-layer memory + Faiss GPU search (<2ms). Give any AI persistent memory across conversations. Open source, MIT license.
🧠 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 high-performance cache and memory hierarchy simulator built with modern C++17. Features configurable cache levels, advanced prefetching, MESI protocol, and detailed statistics. Ideal for computer architecture education, research, and performance analysis.
Contextual Memory Intelligence for AI Systems - Persistent memory, cognitive tools, and adaptive reasoning capabilities for LLMs (evolved from Clay-CXD)
An auxiliary system for language models that integrates a vector-based retrieval/memory system that metabolizes inference history based on a symbiotic score.
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.
🧠 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! ✨
Code Repository of the ASPLOS-2022 Paper on Randomized Row Swap
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 synthetic hippocampus for AI systems. Safety-first hypergraph-based associative memory architecture designed to explore persistent, coherent, and inspectable memory for AI. Transparent reasoning through spreading activation.
Contextual Memory Intelligence for AI Systems - Persistent memory, cognitive tools, and adaptive reasoning capabilities for LLMs Experimental memory system for LLMs (see MemMimic for optimized version)
A modular AI demo site for ethical tech start-ups, entrepreneurs and businesses — rebrandable, memory-powered, and Firebase-ready.
A self-reflective LLM agent with tools, memory, and reasoning built using LangChain + ReAct + Reflexion. Modular FastAPI backend + Streamlit UI.
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