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。
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!
A fast, accurate, and easy-to-integrate memory simulator that model memory system performance with bandwidth--latency curves.
Local-first memory governance for OpenClaw: Store / Pack / Observe cited, inspectable, rollbackable agent context.
🧠 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.
WMB-100K — The first 100,000-turn benchmark for AI memory systems
Custom OpenClaw skills for AI agent capabilities - memory systems, prompt injection defense, intent routing, and platform integrations
Bio-inspired cognitive architecture for personal AI agents. Memory lifecycle, dream consolidation, affect detection, self-reflection, spreading activation, proactive intelligence. 7 LLM providers, 9 channels, $0.06-0.10/day. OpenClaw-compatible.
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.
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
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.
Bio-inspired cognitive architecture for LLM agents providing embodied sensation, homeostatic drives, and brain-modeled persistent memory enable cross-session learning without fine-tuning. Works with robots like the Reachy Mini or headless.
An auxiliary system for language models that integrates a vector-based retrieval/memory system that metabolizes inference history based on a symbiotic score.
Experimental hierarchical external memory for AI assistants, designed to reduce context contamination and localize memory updates.
Contextual Memory Intelligence for AI Systems - Persistent memory, cognitive tools, and adaptive reasoning capabilities for LLMs (evolved from Clay-CXD)
Structured memory for agents: weighted retrieval and replayable evidence paths
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