memclawz-connectConnect any AI agent to the MemClawz shared memory bus. Gives agents read-before-act and write-after-complete patterns via a simple HTTP API. Use when an age...
Install via ClawdBot CLI:
clawdbot install yoniassia/memclawz-connectGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
http://localhost:3500Audited Apr 18, 2026 · audit v1.0
Generated Aug 11, 2026
Multiple AI agents from different teams (e.g., DevOps, development, QA) use MemClawz to share discoveries, decisions, and procedures. Before starting tasks, each agent searches shared memory for relevant context, avoiding duplicated work and ensuring consistency.
A fleet of customer support agents handles tickets across shifts. Each agent records resolutions and insights into shared memory, enabling seamless handoffs and continuous learning from past interactions.
R&D agents across different projects log experimental procedures, findings, and outcomes. This shared memory accelerates innovation by building on prior knowledge and preventing redundant experiments.
Security operations agents use MemClawz to log events, decisions, and actions during incident response. Before responding to new alerts, agents search past incidents for relevant playbooks and insights.
Agents managing inventory, logistics, and procurement share forecasts, decisions, and outcomes. This shared context improves coordination and reduces delays across the supply chain.
Offer a hosted MemClawz service for organizations that want to connect their AI agents to shared memory without managing infrastructure. Charge a subscription fee per agent or based on usage.
Integrate MemClawz into existing AI product suites (e.g., RPA platforms, MLOps tools). Charge a premium for the cross-agent memory feature as part of an enterprise license.
Aggregate anonymized metadata from fleet memories to provide analytics on agent behavior, trends, and performance. Offer these insights as a premium subscription.
💬 Integration Tip
Start by setting the required environment variables and testing the health check. Then integrate the search-before-act and write-after-complete patterns into your agent's core workflow, using the provided curl commands as a template.
Scored Aug 11, 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...