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。

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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.

Trust-aware memory for OpenClaw — pack only what the agent should trust, with provenance, receipts, and local-first recall.

🧠 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

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

ErnOS V5 - A hybridized cognitive operating system for autonomous AI. Persistent graph memory, dream cycles, dual-process auditing, and a 1,241-line kernel constitution. Built on hardened OpenClaw. Fully local via Ollama. Free and open source.

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.

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.

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.

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! ✨

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.

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.

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

Local AI assistant architecture with vector memory, identity graph and event-based memory.

MnemeBrain Benchmark Suite (BMB): 48 tasks evaluating belief dynamics in AI memory systems — contradiction detection, revision, provenance, and temporal reasoning.

Prosthetic cognition architecture for AI agents. Deterministic scaffolding over probabilistic reasoning.

Lightweight, thread-safe memory kernel for autonomous agents. Strengthens knowledge through reinforcement, prunes with gentle decay, and exports transparent Markdown — pure SQLite. Foundation for persistent, self-improving reasoning.

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

CS698Y Course Project

Architecture and methodology behind a self-documenting AI system. Cold start protocols, tiered memory, NAS-based persistence, and identity continuity engineering. A technical case study.

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