local-agent-memory-v1Build, maintain, or improve a layered local memory system for OpenClaw-style agents using markdown files instead of database-backed memory. Use when creating...
Install via ClawdBot CLI:
clawdbot install lupinweng/local-agent-memory-v1Grade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 7, 2026
An AI assistant that maintains a memory of user preferences, past conversations, and learned routines across sessions using markdown files. The semantic layer stores durable facts like preferred communication style, while daily logs capture one-off requests.
A local agent running in a Termux environment that remembers project-specific setup instructions, troubleshooting steps, and coding conventions. Procedural memory captures repeatable build scripts and maintenance routines.
An agent that organizes research notes by extracting stable findings into semantic memory and experimental procedures into procedural memory. Daily logs track incremental observations, and consolidation reduces clutter.
An agent that remembers server configuration details, incident response procedures, and platform constraints without relying on a database. It uses skeptical memory rules to verify facts before executing commands.
An agent that tracks team workflows, meeting notes, and project decisions in a shared workspace. Semantic memory holds governance rules, while procedural memory stores recurring checklists for stand-ups and deployments.
Offer a basic open-source version of the memory system for free, with premium features like advanced consolidation algorithms or cross-device syncing available via subscription.
Provide consulting services to companies wanting to build custom file-based memory systems for their internal AI agents, including setup and workflow integration.
License the memory system to enterprises embedding AI agents into their products, with support for compliance, security audits, and integration into existing infrastructure.
💬 Integration Tip
Start by setting up the minimum file structure (MEMORY.md and memory/ subdirectories) before writing any memory-guided logic. Use the heartbeat consolidation pass weekly to prevent memory sprawl.
Scored May 7, 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
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...