Copy and snapshot all important agent context (MEMORY.md, memory/*.md, AGENTS.md, SOUL.md, etc.) into a dedicated archive directory or repo. Use this skill when you want to back up your memories, cont
Universal LYGO Living Memory Library upgrade. Provides a strict, low-noise memory index (max 20 files), fragile tagging, and audit/compression workflows so Champions can retain continuity and verify i
Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure memorySearch in their config. Covers MEMORY.
Manage mandatory PostgreSQL memory operations with context retrieval, prompt logging, delegation tracking, and audit event recording using Memory_openclaw an...
QMD memory system telemetry — measure index health, BM25 retrieval quality, coverage maps, and trend analysis. Use when running QMD memory backend and need d...
Auto-escalating multi-tier memory search that cascades from in-memory cache through SQLite, grep, and LanceDB vector search to find the best answer with mini...
Share memories and state with other users. Use when user wants to share knowledge, create users/groups, grant permissions, set up family or team sharing, subscribe to memory changes, or manage access
Distill verbose daily logs into compact, indexed digests. Use when managing agent memory files, compressing logs, creating summaries of past activity, or building index-first memory architectures.
--- name: vanar-neutron-memory description: Save and recall agent memory with semantic search. Context that persists across every session. user-invocable: true metadata: {"openclaw": {"emoji": "🧠",
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
Persistent memory system for AI agents to remember facts, learn from experiences, recall memories, and track entities across sessions.
MongoDB-backed long-term semantic memory for recalling, storing, searching, and managing facts, decisions, and user preferences across sessions.
Provides a neuroscience-inspired 6-tier automated memory system with WAL protocol, semantic search, emotional tagging, and value-based retention for OpenClaw...
This tool is a cutting-edge memory engine that blends real-time learning, persistent three-tier context awareness, and seamless LLM integration to continuously evolve and enrich your AI’s intelligen
Manage and retrieve long-term memories with LanceDB using semantic vector search, category filtering, and detailed metadata storage.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vib...
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Stores and retrieves personal preferences, decisions, and context across conversations using ActingWeb Personal AI Memory via MCP. Activates when the user me...
Persistent memory for AI agents. Semantic search, association graphs, dream cycles. Local-first, fully offline, free. Works with any MCP runtime.
Hybrid memory strategy combining OpenClaw's built-in vector memory with Graphiti temporal knowledge graph. Use when you need to recall past context, answer temporal questions ("when did X happen?"), o
Intelligent memory management for agents with short/long-term memory layering, semantic search, auto summarization, RAG enhancement
--- name: infinite-memory version: 1.0.0 description: High-precision memory with 100% recall accuracy for long contexts. emoji: 🦞 metadata: clawdbot: requires: bins: -
Complete zero-dependency memory system for AI agents — file-based architecture, daily notes, long-term curation, context management, heartbeat integration, a...