Scan the agent workspace and memory logs for leaked API keys, tokens, or sensitive credentials. Use when the user requests a security check, a memory audit,...
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
An enhanced memory system for OpenClaw agents that replaces the default single-file MEMORY.md with a complete memory architecture: hierarchical directory org...
Enables AI agents to develop independent, evolving personas through organic memory growth, self-reflection, and layered memory management.
Mixed Memory-Augmented Generation (MMAG) for AI agents. Five cognitive memory layers — conversational, long-term user, episodic, sensory, and short-term work...
Integrated memory management and extreme context compression for OpenClaw. Combines memory management, compression, search, and automation in one unified skill.
Indestructible agent memory — permanently stored, never lost. Save decisions, identity, and context as a memory chain on the Autonomys Network. Rebuild your...
Asynchronous reflection and memory integration for genuine AI development. Use on heartbeat to reflect on recent sessions, extract structured memories with confidence scores, generate follow-up questi
Enforce proactive, query-optimized memory_search usage. Must run memory_search when (1) prior context is referenced, (2) a new task starts, or (3) a proper n...
Edge-optimized RAG memory system for OpenClaw with semantic search. Automatically loads memory files, provides intelligent recall, and enhances conversations...
A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI agents.
AI-native memory and orchestration system for OpenClaw. Transforms agents from stateless workers into structured orchestrators with persistent memory, behavi...
Long-term memory management system for OpenClaw agents. Automatically archives conversations, organizes memories, and provides semantic search capabilities.
Provides a structured AI agent memory system separating episodic, semantic, and procedural memories to preserve knowledge and processes over time.
Install and enable Honcho + the @alloralabs/honcho-memory-mux extension, migrate legacy file memory, and update workspace instructions so agents use memory v...
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
Memory system with 5 categories - knowledge, projects, error log, daily review, and tasks. Load on demand to avoid memory pollution. 记忆系统 - 包含常识记忆、项目记忆、错题本、每...
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
Manage and maintain memory system using the Root + PARA hybrid architecture. Use when performing memory maintenance, distilling daily logs, and updating core...
Visualize and explore geo-tagged memories on interactive maps with clustering, temporal playback, and shareable, privacy-controlled overlays.
Configure OpenClaw agent memory to survive compaction and session restarts. Use when: (1) setting up a new OpenClaw agent or workspace, (2) agents are forget...
Deterministic external memory for OpenClaw and coding agents using S3-Hipokamp. Use for storing durable facts, retrieving prior decisions, snapshotting memor...
Manages AI assistant long-term memory with layered storage for facts, events, skills, context, and fast indexing, including backup and integrity tools.