big-memoryStructured task snapshot and automatic post-compaction recovery. Captures exact code, decisions, file paths, and task state before context compaction and rec...
Install via ClawdBot CLI:
clawdbot install obekt/big-memoryGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/obekt/big-memoryAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
A developer uses the AI agent during a multi-day coding session. The agent captures snapshots before context compaction occurs, ensuring that when the user resumes work, the agent can recover the exact code context, decisions, and next steps, preventing loss of progress and reducing rework.
A data scientist works on a complex analysis involving multiple datasets and models. The agent saves structured snapshots at key milestones, such as after model training or data preprocessing, allowing recovery of exact parameters, file paths, and blockers if context is lost during long sessions.
A DevOps engineer configures and deploys infrastructure using the AI agent. Snapshots capture exact commands, environment variables, and deployment states, enabling quick recovery after context loss, especially useful during troubleshooting or when switching between tasks.
A support engineer uses the agent to debug a complex issue with a customer. The agent captures snapshots of error messages, code snippets, and debugging steps, ensuring that if context is compacted, the engineer can resume exactly where they left off without repeating work.
Offer basic snapshot functionality for free to attract users, with premium features like advanced search, automated recovery triggers, and integration with external tools for a subscription fee. Revenue comes from monthly or annual subscriptions.
Sell licenses to large organizations for team-wide use, including features like centralized snapshot management, audit logs, and custom integrations. Revenue is generated through one-time license fees or annual enterprise contracts.
Provide consulting services to help businesses integrate and customize the skill for specific workflows, such as compliance or specialized development environments. Revenue comes from project-based fees and ongoing support contracts.
💬 Integration Tip
Integrate the skill by training users to trigger snapshots at key milestones and setting up automated detection for context loss, ensuring seamless recovery without manual intervention.
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
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.