agent-memory-setup-qmdSet up the full OpenClaw agent memory system with 3-tier memory (HOT/WARM/COLD), daily logs, semantic search (QMD), and lossless context management (Lossless...
Install via ClawdBot CLI:
clawdbot install autosolutionsai-didac/agent-memory-setup-qmdGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://github.com/nichochar/openclawAudited Apr 17, 2026 · audit v1.0
Generated May 13, 2026
Set up the three-tier memory system for a new DevOps agent to manage CI/CD pipelines, monitor system health, and track incident response. The HOT tier retains active session state, the WARM tier stores stable configurations and preferences, and the COLD tier archives historical data.
Equip a customer support agent with memory management to maintain context across multiple user interactions. Daily logs and semantic search help the agent recall past issues and solutions, improving response accuracy and personalization.
Initialize memory for a research assistant agent that compiles literature reviews, maintains citation databases, and tracks ongoing projects. The three-tier system ensures active research notes are readily accessible while older findings are archived with semantic search.
Deploy memory system for an AI agent that reviews legal contracts and documents, ensuring consistent handling of clauses and obligations. Lossless context compaction preserves every detail, while heartbeat checks flag periodic review tasks.
Offer memory setup as a premium feature in a SaaS platform for AI agents, with different tiers based on memory capacity and semantic search capabilities. Revenue comes from monthly or annual subscriptions.
Provide a one-time consulting service to install and customize the memory system for enterprise clients using OpenClaw agents. Includes script execution, AGENTS.md customization, and configuration tuning.
Bundle the memory setup with premium plugins like QMD semantic search or Lossless Claw compaction, sold separately or as part of a professional edition. Revenue comes from plugin licenses.
💬 Integration Tip
Run the setup script in a dedicated workspace directory to isolate memory files, and test the heartbeat mechanism with a short interval (e.g., 1 minute) to verify proper operation before deploying to production.
Scored May 13, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
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Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.