Store and recall persistent memories via FlightBox (Quack Network). Use when storing agent memories, recalling past context, searching agent memory, or persi...
Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation.
Structured memory system for AI agents using Notion. Use when setting up agent memory, discussing memory persistence, or helping agents remember context acro...
DEPRECATED — Use persistent-agent-memory instead. This skill has been replaced by persistent-agent-memory (clawhub install persistent-agent-memory).
OpenClaw Memory-OS - Digital immortality service and cognitive continuity infrastructure for personal memory management
Memory augmentation and LLM call interception using the Memori Python library with optional Zhipu API integration.
Long-term memory for OpenClaw agents using the Memori SDK. Capture conversations and intelligently recall context across sessions automatically.
EvoClaw Tiered Memory Architecture v2.1.0 - LLM-powered three-tier memory system with structured metadata extraction, URL preservation, validation, and cloud...
Wave-based hyperdimensional memory system with multi-agent swarm synchronization. Memories resonate with amplitude, frequency, phase, and decay — fading thro...
Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events. Use when you need persistent memory across sessions or want to rec
SOTA Memory Suite — auto-recall, cross-encoder reranking, multi-hop deep search, causal knowledge graph, episodic memory, and nightly sleep-cycle consolidation.
Infinite organized memory that complements your agent's built-in memory with unlimited categorized storage.
Indestructible agent memory — permanently stored, never lost. Save decisions, identity, and context as a memory chain on the Autonomys Network. Rebuild your...
Persistent memory system for AI agents — daily logs, long-term memory, identity files, and heartbeat-driven recall. Solves context amnesia across sessions.
Builds a reusable, scored memory mesh with safety gating and 12-hour auto-refresh for cross-session memory consolidation and quality control in OpenClaw.
Universal memory architecture for AI agents. Provides long-term memory, daily logs, diary, cron inbox, heartbeat state tracking, social platform post tracking, sub-agent context patterns, and adaptive
An enhanced memory system for OpenClaw agents that replaces the default single-file MEMORY.md with a complete memory architecture: hierarchical directory org...
Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure m...
Intelligent multi-store memory system with human-like encoding, consolidation, decay, and recall. Use when setting up agent memory, configuring remember/forget triggers, enabling sleep-time reflection
Intelligent memory management for OpenClaw agents. Reviews daily notes, suggests MEMORY.md updates, maintains directory health, and auto-cleans old files. Recommended for agents with growing memory fo
Local persistent vector memory system using LanceDB and Ollama for semantic search and multi-user isolated long-term AI assistant memory.
Long-term memory management system for OpenClaw agents. Automatically archives conversations, organizes memories, and provides semantic search capabilities.
Scrape and analyze OpenClaw JSONL session logs to reconstruct and backfill agent memory files. Use when: (1) Memory appears incomplete after model switches, (2) Verifying memory coverage, (3) Reconstr
Ultimate memory and cognitive architecture for advanced AI; integrates spiderweb memory model, causal inference, cellular automata emergence, neuro-symbolic...