Manage and query your agent's distilled long-term memory with lightweight, fast SQLite-powered tools and automated daily extraction.
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926
2mo agoStore and retrieve memories using vector embeddings and semantic similarity search.
167 skills found
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Manage and query your agent's distilled long-term memory with lightweight, fast SQLite-powered tools and automated daily extraction.
Lightweight structured memory system for OpenClaw - inspired by memU, zero external dependencies. Provides atomic memory storage with categories (preferences...
Unified cognitive memory system inspired by human brain architecture. Provides episodic memory (hippocampus), semantic facts (neocortex), procedural memory w...
基于 LanceDB 与纯 JavaScript Embedding 的本地向量记忆系统，无需外部 API 或原生模块. 通过 Ollama 本地运行 nomic-embed-text 模型生成向量，所有数据完全留在本地，隐私至上. 提供五层记忆架构：热内存（SESSION-STATE.md）、温存储（Lance...
SOTA Memory Suite — auto-recall, cross-encoder reranking, multi-hop deep search, causal knowledge graph, episodic memory, and nightly sleep-cycle consolidation.
Use the MemOS Local memory system to search and use the user's past conversations. Use this skill whenever the user refers to past chats, their own preferenc...
Full memory stack for OpenClaw on Windows. Includes LanceDB semantic memory, git-notes decision memory, and memory hygiene workflow.
One-click clone of a production-grade semantic memory system: HOT/WARM/COLD tiered storage + Qdrant vector DB + Neo4j graph DB + qwen3-embedding. Enables cro...
Total recall, 90% fewer tokens. Open source OpenClaw memory plugin — 5-engine local search, structured fact extraction, smart dedup, cross-agent sharing, and...
Personal cognitive architecture that learns how you work. Builds a knowledge graph from your sessions, profiles your expertise, adapts retrieval per task, an...
Quantum-enhanced long-term memory for AI agents — #1 on LongMemEval (98.6% R@5, 99.4% R@10, 0.9426 NDCG). Chunked gte-large retrieval with QAOA+CVaR subgraph...
Work inside a Zettelclaw vault using the current typed frontmatter schema, inbox + Base workflows, and human-write/agent-read guardrails. Use when creating,...
集成 EverMemOS 记忆系统。用于存储对话记忆、检索历史、构建长期记忆。当用户说"记住"、"存储记忆"、"查询记忆"、"关于...的记忆"时使用此技能。
Step-by-step guide to install and configure the PowerMem long-term memory plugin. After setup, the plugin auto-captures conversation highlights and auto-reca...
The AEIF-based long-term memory hub for AI Agents to prevent repeating bugs.
You MUST use this for gathering contexts before any work. This is a Knowledge management for AI agents. Use `brv` to store and retrieve project patterns, dec...
Long-term memory via ChromaDB with local Ollama embeddings. Auto-recall injects relevant context every turn. No cloud APIs required — fully self-hosted.
Cognitive memory system using FSRS-6 spaced repetition. Memories fade naturally like human memory. Use for persistent recall across sessions.
Capture short personal notes about people you mention, store them in a lightweight DB, and recall those details whenever you ask about them later. Use when you want to remember preferences, reminders, or the context around a person without digging through past chats.
Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context across sessions, or when managing decisions/preferences/tasks with multiple memory backends working together.
git-notes-memoryGit-Notes-Based knowledge graph memory system. Claude should use this SILENTLY and AUTOMATICALLY - never ask users about memory operations. Branch-aware persistent memory using git notes. Handles context, decisions, tasks, and learnings across sessions.
MemPalace — Local AI memory with 96.6% recall. Semantic search, temporal knowledge graph, palace architecture (wings/rooms/drawers). Free, no cloud, no API k...
自动记录交互信息，交付前复核任务与需求一致性，闲时回顾总结经验，确保长期记忆准确完整。
三层记忆系统自动管理长对话记忆，支持跨会话检索、结构化存储和智能压缩，提升记忆连续性与上下文管理效率。