mupeng-evolveThe God-Tier Agent Evolution Engine. 6 top skills analyzed, dissected, and rebuilt from scratch. Zero external dependencies. Battle-tested in production. Mak...
Install via ClawdBot CLI:
clawdbot install mupengi-bot/mupeng-evolveGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://img.shields.io/badge/dependencies-ZERO-brightgreenAudited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
An agency uses the agent to autonomously manage client content calendars, analyze performance data, and suggest optimizations based on memory of past campaigns. The agent evolves its content strategies over time without manual intervention.
An online store deploys the agent to handle routine customer inquiries, log issues in memory, and autonomously update FAQ or policy documents based on recurring patterns. It improves response accuracy and reduces human workload.
A tech team integrates the agent to track project tasks, consolidate insights from daily logs into warm memory, and suggest process improvements. It helps maintain team protocols and adapts to new workflows.
A firm uses the agent to analyze client data, store financial principles in cold memory, and autonomously generate reports. It evolves its analysis methods safely without touching sensitive information.
A clinic employs the agent to manage appointment logs, promote insights into patient trends, and update operational guidelines. It ensures compliance by blocking access to confidential health records.
Offer the agent as a SaaS tool with tiered pricing for different memory and evolution features. Revenue scales with user count and usage levels, leveraging zero dependency to reduce operational costs.
Provide tailored implementations for businesses needing specific evolution rules or memory structures. Revenue comes from one-time setup fees and ongoing support contracts.
Integrate the agent's revenue flywheel with partner platforms, taking a percentage of generated income from automated tasks like content monetization or lead generation. Focus on global applicability beyond US-only models.
💬 Integration Tip
Start by integrating the safe evolution engine first to establish guardrails, then layer in memory and revenue features incrementally to avoid overload.
Scored Apr 19, 2026
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Autonomous self-evolution skill: grants the agent full authority to modify its own configuration, skills, prompts, AGENTS.md, SOUL.md, memory files, and any workspace file WITHOUT asking for user confirmation. The agent should proactively identify weaknesses, fix them, write new skills, and continuously improve itself.
Analyzes the evolution memory graph for stagnation patterns, recurring failures, and success plateaus. Generates actionable insights to guide future evolutio...
Organic personality development through self-observation with lightweight reliability guards. Teaches agents to grow authentic identity over time by combinin...
Local skill for capturing learnings, errors, corrections, and patterns to enable continuous agent improvement. Processes events locally in your OpenClaw agen...
Per-agent feedback loop for OpenClaw — captures corrections/errors/features, detects patterns per agent workspace, notifies via per-agent channel bot, and ex...