Manage and query your agent's distilled long-term memory with lightweight, fast SQLite-powered tools and automated daily extraction.
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3mo agoBuild retrieval-augmented generation pipelines for document Q&A and knowledge search.
185 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...
Long-term memory via ChromaDB with local Ollama embeddings. Auto-recall injects relevant context every turn. No cloud APIs required — fully self-hosted.
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...
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...
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,...
Correlation-aware memory search plugin for OpenClaw — automatically retrieves related decision contexts when you query memory. Zero external dependencies. In...
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...
Unified cognitive memory system inspired by human brain architecture. Provides episodic memory (hippocampus), semantic facts (neocortex), procedural memory w...
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...
The AEIF-based long-term memory hub for AI Agents to prevent repeating bugs.
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...
Local memory search for OpenClaw agents. Runs a lightweight Node.js server that indexes all files in ~/clawd/memory/ plus MEMORY.md and WORKING.md, then expo...
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。
Persistent memory plugin for OpenClaw agents. Hybrid SQLite FTS5 keyword + Ollama vector semantic search with auto-capture, auto-recall, stuck-detection, and...
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。