memory-cacheHigh-performance Redis cache for storing namespaced keys with TTL, supporting agent state, API result caching, and inter-agent data sharing.
Install via ClawdBot CLI:
clawdbot install 1999azzar/memory-cacheGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 1, 2026
Cache user session data like browsing history and cart items to enable real-time product recommendations and personalized offers. This reduces database load and improves page load times during high-traffic events like Black Friday sales.
Store real-time market data and user portfolio states to support fast decision-making and reduce latency in trade executions. The TTL management ensures data freshness and compliance with regulatory requirements for data retention.
Cache patient session contexts and diagnostic results to facilitate seamless handoffs between different AI sub-agents handling triage, prescription management, and follow-up scheduling. This enhances care coordination and patient experience.
Use namespaced keys to cache player states, game session data, and leaderboard updates, enabling low-latency interactions and smooth gameplay. This supports scalable performance during peak user loads and reduces backend server strain.
Cache sensor data and device states from connected vehicles or machinery to enable real-time monitoring and predictive maintenance alerts. This allows for quick data sharing between analytics sub-agents and improves operational efficiency.
Offer the memory cache as part of a cloud-based AI platform with tiered pricing based on storage capacity and request volume. This generates recurring revenue from enterprises needing scalable caching solutions for their AI agents.
Provide professional services to customize and integrate the cache skill into existing AI systems, including setup, optimization, and training. This targets organizations with complex infrastructure seeking tailored performance improvements.
Distribute the skill as open-source software while offering paid support, advanced features like enhanced security, and enterprise-grade SLAs. This attracts developers and businesses looking for reliable, community-driven tools with optional upgrades.
💬 Integration Tip
Ensure the REDIS_URL environment variable is securely configured and use the mema: prefix consistently to avoid key collisions and maintain namespace organization.
Scored Apr 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
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
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.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...