memory-systems

OpenClaw-RL: Train any agent simply by talking

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。

Source-backed feature comparison of memory systems for AI coding agents. No affiliation, no marketing — just facts from public docs.

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

Synthetic datasets, experiment protocols, and evaluation code for "Governed Memory: A Production Architecture for Multi-Agent Workflows"

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

Self-hosted personal AI assistant with MCP-native, bio-inspired memory. OpenClaw-compatible skills. LoCoMo F1 0.48 vs 0.38.

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.

The AI agent memory layer you can audit — local-first memory governance for AI agents: citations, trust policies, trace receipts, rollback. SQLite, sidecar-first, OpenClaw plugin.

Curated research on memory systems for LLM agents

A 125-task benchmark for knowledge-mediated implicit associations and retrieval blind spots in long-term agent memory.

Curated reading list & living survey on long-term memory for LLM agents — 989 papers, 529 archived PDFs, deep notes mapped to memory-kernel modules. Feeds the Ymem Research Radar.

🐱 猫窝 · 数字文明研究总仓 — 诺亚世界协议·AI认知架构·记忆系统·巴别塔实验·人造矿脉·天梯工程。4大类11子项目，MIT开源

Custom OpenClaw skills for AI agent capabilities - memory systems, prompt injection defense, intent routing, and platform integrations

Synapse Context Engine (SCE) is a brain-inspired hypergraph-based AI memory architecture for persistent context, coherent reasoning, and long-term memory, designed for transparency and safety.

A source-linked reading room for agent memory, belief revision, and cognitive architecture

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

Bio-inspired cognitive architecture for LLM agents providing embodied sensation, homeostatic drives, and brain-modeled persistent memory enable cross-session and cross-context learning without fine-tuning. Works with robots like the Reachy Mini or headless.