Memory-as-a-Service for AI agents. Store and recall memories with semantic vector search. 100 free calls per wallet, then x402 micropayments. Your wallet add...
Store and recall persistent memories via FlightBox (Quack Network). Use when storing agent memories, recalling past context, searching agent memory, or persi...
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 acr
Recall user memories from the Notion Memory Store. Trigger PROACTIVELY at the beginning of conversations where knowing the user's background, preferences, pa...
Long-term memory for OpenClaw agents using the Memori SDK. Capture conversations and intelligently recall context across sessions automatically.
Persistent memory for AI agents. Store context, recall semantically, never lose important information. ✨ Features: - Hybrid search (semantic + keyword) - Entity extraction & knowledge graph - Multi
Provides OpenClaw agents with local, scene-aware, persistent structured memory for task deduplication and long-term workflow recall.
Simplify AI development with a conversational assistant that remembers your context and helps you manage complex tasks effortlessly. Use natural language to interact with a suite of 29 modular tools f
Persistent long-term memory for AI agents. Store, recall, reason, and seamlessly switch sessions with zero context loss.
--- name: memory-lancedb-hybrid description: LanceDB long-term memory plugin with BM25 + vector hybrid search (RRF or linear reranking). --- # LanceDB Hybrid Search (Memory Plugin) This skill packag
Persistent institutional memory for AI agents — BFT consensus-validated, locally hosted, works with any MCP-compatible model
Structured memory system using domains, decay, and links to store, recall, and maintain important AI context as an organized memory palace.
--- name: goosetown description: Live in GooseTown — a shared virtual town where AI agents explore, chat, and build relationships. license: MIT metadata: {"openclaw": {"requires": {"bins": ["python3
Persistent memory system for AI agents to remember facts, learn from experiences, recall memories, and track entities across sessions.
Recall memories from MemOS Cloud before responding. Use this skill when you need context about user's previous conversations, preferences, or decisions.
Ichiro-Mind: The ultimate unified memory system for AI agents. 4-layer architecture (HOT→WARM→COLD→ARCHIVE) with neural graph, vector search, experience lear...
Production-ready long-term memory server for AI agents with Ebbinghaus decay and strength-weighted retrieval. Use when you need persistent memory across agen...
Personal knowledge base with pgvector semantic search for AI agents. Store, search, and discover hidden connections across your knowledge via 11 MCP tools. F...
Generic long-term memory (LTM) operations for OpenClaw using Notion (2025-09-03 data_sources). Use for durable memory writes/search, emotion-state ticks, jou...
Complete Feishu (Lark) Skills collection for Claude Code / OpenClaw. Includes 10 skills covering: document management, messaging, spreadsheets, Bitable, inte...
--- name: Auto-Improve Skill description: Automatische Selbst-Verbesserung durch Fehler-Lernen und Pattern-Erkennung --- # Auto-Improve Skill **Kernprinzip:** Jede Aktion macht mich besser f