memory-stack-coreCore memory resilience layer: WAL (Write-Ahead Log), Working Buffer, and three-layer memory integration. Prevents context loss during compaction and ensures...
Install via ClawdBot CLI:
clawdbot install neroagent/memory-stack-coreGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 13, 2026
A development team uses the skill to preserve critical details like file paths, API endpoints, and design decisions across many chat sessions. When context windows fill up or compaction occurs, the WAL and buffer ensure no specifics are lost, improving code consistency and reducing errors.
An analyst works with an AI to process datasets, track preferences for visualization styles, and document decision rationale. The memory stack ensures that specific values like thresholds, dates, and column names survive session restarts, enabling accurate and reproducible reports.
A lawyer collaborates with an AI to draft contracts, noting corrections, preferences for clauses, and specific legal citations. The skill prevents context loss during long drafting sessions, ensuring that all edits and decisions are retained for final review.
A customer support agent uses the AI to log common issues, preferred solutions, and product-specific fixes. The WAL captures corrections and updates to procedures, while the buffer preserves conversational context for accurate responses across long shifts.
A researcher employs the AI to summarize papers, track citation details, and manage project notes. The memory stack ensures that specific findings, URLs, and decision points are not lost when switching between topics or after session breaks.
Customers pay a one-time fee of $29 for the skill, which they can install and use indefinitely. This model targets individual developers and small teams who prefer a simple, upfront cost.
Offer a monthly or yearly subscription that includes the skill plus ongoing updates, priority support, and integration with new agent versions. This provides recurring revenue and continuous improvement.
License the skill to organizations for use across multiple agents and team members. Includes customization, dedicated support, and integration assistance. Pricing based on number of agents or users.
💬 Integration Tip
Install the skill and optionally set the configuration file; then rely on the automatic WAL and buffer capture. To manually recover context, use the provided tools (wal_read, buffer_read, memory_health).
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...
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...