agent-memory-managerGives the agent persistent, structured long-term memory across sessions. Organizes memory by project, client, trade, and domain. The agent never forgets what...
Install via ClawdBot CLI:
clawdbot install georges91560/agent-memory-managerGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
An autonomous trading agent uses this skill to log every trade entry, exit, and outcome in the trades domain, building a historical database to avoid repeating failed strategies and optimize decision-making based on past performance across multiple sessions.
A sales agent employs this skill to store detailed client profiles and interaction histories in the clients domain, enabling personalized follow-ups, tracking prospect status changes, and improving conversion rates by recalling preferences and past communications.
A content creation agent utilizes the knowledge domain to accumulate insights on effective topics, formats, and engagement metrics, allowing it to generate more targeted and successful content over time by searching past learnings.
A support agent leverages this skill to maintain persistent records of customer issues and resolutions in the projects domain, providing consistent and informed assistance by recalling previous interactions and solutions without starting from scratch each session.
An R&D agent uses this skill to document experiments, findings, and project milestones in the projects and knowledge domains, creating a compounding knowledge base that accelerates innovation by building on past successes and failures.
Offer this skill as part of a subscription-based AI agent platform, where users pay monthly for enhanced memory capabilities that improve agent performance over time, with tiers based on storage limits and advanced recall features.
Provide consulting services to businesses for integrating this skill into their existing AI systems, including custom schema development, training, and ongoing support to optimize memory management for specific use cases like CRM or trade logging.
Monetize by offering analytics and reporting tools that analyze the stored memory data, such as performance dashboards for trades or client engagement insights, sold as an add-on to the core skill for deeper business intelligence.
💬 Integration Tip
Ensure Python3 is installed and set up the required file paths in /workspace/memory/ before initial use to avoid permission errors.
Scored Apr 23, 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.