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Provides OpenClaw agents with local, scene-aware, persistent structured memory for task deduplication and long-term workflow recall.

Stop your AI agent from forgetting everything between sessions. Three-tier memory architecture (long-term owner namespace / daily logs / session handoff), cr...

Provides OpenClaw agents with local, scene-aware, persistent structured memory for task deduplication and long-term workflow recall.

Stop your AI agent from forgetting everything between sessions. Three-tier memory architecture (long-term owner namespace / daily logs / session handoff), cr...

Three-layer persistent memory system (Markdown + ChromaDB vectors + NetworkX knowledge graph) for long-term agent recall across sessions. One-command setup w...

Add persistent memory to any agent so it can remember prior work, maintain context across sessions, and continue long-running workflows.

Provide long-term memory persistence for AI agents with SQLite-backed storage, structured metadata, vector embeddings, semantic retrieval, lifecycle manageme...

DEPRECATED — Use persistent-agent-memory instead. This skill has been replaced by persistent-agent-memory (clawhub install persistent-agent-memory).

Gives your OpenClaw agent persistent memory across every session. MEMORIA maintains a structured knowledge layer: who you are, what you're building, every de...

Gives your OpenClaw agent persistent memory across every session. MEMORIA maintains a structured knowledge layer: who you are, what you're building, every de...

Memory management system powered by ReMe. Enables cross-session memory persistence, automatic user preference application, and intelligent context compressio...

Persistent cloud memory for OpenClaw agents. Use when users say: - "install mem9" - "setup memory" - "add memory plugin" - "openclaw memory" - "mem9 onboardi...

Manages long-term local user memory across sessions for personalization, learning preferences, contacts, and patterns to tailor assistance continually.

DEPRECATED — Use persistent-agent-memory instead. This skill has been replaced by persistent-agent-memory (clawhub install persistent-agent-memory).

Memory management system powered by ReMe. Enables cross-session memory persistence, automatic user preference application, and intelligent context compressio...

Manage agent memory with Membase - a decentralized, encrypted memory backup and restore system. Provides backup, restore, list, diff, status, and cleanup operations for agent memories.

Manage agent memory with Membase - a decentralized, encrypted memory backup and restore system. Provides backup, restore, list, diff, status, and cleanup operations for agent memories.

Store and recall persistent memories via FlightBox (Quack Network). Use when storing agent memories, recalling past context, searching agent memory, or persi...

Awakening Protocol v5.3 — Agent Cognitive Upgrade + Self-Evolving System + Perpetual Memory + Performance Metrics + Agent Health Score + Automated Health Pat...

Cloud-persistent memory for AI agents. Stateless plugins + TiDB Serverless = cross-session recall, multi-agent sharing, and hybrid vector + keyword search. W...

Persistent institutional memory for AI agents — BFT consensus-validated, locally hosted, works with any MCP-compatible model

Persistent local memory system for AI agents across conversations — file-based, zero external dependencies. Trigger when: (1) user asks to "remember" somethi...

Persistent memory system for AI agents — daily logs, long-term memory, identity files, and heartbeat-driven recall. Solves context amnesia across sessions.

AI-native agent runtime with typestate-enforced ORGA reasoning loop, Cedar policy authorization, knowledge bridge, zero-trust security, multi-tier sandboxing...