5-layer memory architecture for OpenClaw agents. Solves context bloat, the 48h fogging problem, and rule amnesia. Works for single-agent and multi-agent setu...
主动智能记忆管理技能。实时分析聊天、三库同步（MEMORY+QMD+Git）、主动切换、预防性保护。与Context Manager互补，双保险机制。
Associative memory with spreading activation for persistent, intelligent recall. Use PROACTIVELY when: (1) You need to remember facts, decisions, errors, or...
How to write well-structured Basic Memory notes: frontmatter, observations with semantic categories, relations with wiki-links, and best practices for buildi...
Manage and navigate a multi-layered, branch-based memory system. This skill helps organize complex agent context into Root, Domain, and Project layers to pre...
Maintain organized agent memory by tagging entries as GOOD, BAD, or NEUTRAL, storing essentials in MEMORY.md and daily logs for efficient search and cleanup.
Use when users or OpenClaw/ClawHub agents need to install, configure, self-bootstrap, troubleshoot, or operate Mnemos for persistent scoped agent memory, or...
Local vector memory system with LanceDB + Pure JS embedding. No native modules or external APIs required.
Discover who you're becoming through your own experience. Automated soul synthesis that reads your memory, finds the patterns you keep returning to, and buil...
Fast semantic search for AI agent memory files using TF-IDF and SQLite. Enables instant context retrieval from MEMORY.md or any markdown documentation. Use when the agent needs to (1) Find relevant co
Automatically archives daily chat logs with keyword highlights and optional AI summaries into organized memory files without manual setup.
Your agent loses context between sessions and performs familiarity instead of genuine recall. inner-life-memory transforms passive logging into active develo...
Process unstructured external input (meeting transcripts, conversation logs, pasted documents) into structured Basic Memory entities. Extracts entities, sear...
Enables AI agents to develop independent, evolving personas through organic memory growth, self-reflection, and layered memory management.
Provides a structured AI agent memory system separating episodic, semantic, and procedural memories to preserve knowledge and processes over time.
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
Indestructible agent memory — permanently stored, never lost. Save decisions, identity, and context as a memory chain on the Autonomys Network. Rebuild your...
Install and enable Honcho + the @alloralabs/honcho-memory-mux extension, migrate legacy file memory, and update workspace instructions so agents use memory v...
AI-native memory and orchestration system for OpenClaw. Transforms agents from stateless workers into structured orchestrators with persistent memory, behavi...
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
Shared semantic memory store for AI agents. Store, search, and retrieve memories across agents with TTL decay. SQLite persistence — survives restarts.
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...
Edge-optimized RAG memory system for OpenClaw with semantic search. Automatically loads memory files, provides intelligent recall, and enhances conversations...
An enhanced memory system for OpenClaw agents that replaces the default single-file MEMORY.md with a complete memory architecture: hierarchical directory org...