awesome-openclaw and openclaw-superpowers

awesome-openclaw
50
Established
openclaw-superpowers
36
Emerging
Maintenance 13/25
Adoption 8/25
Maturity 11/25
Community 18/25
Maintenance 13/25
Adoption 6/25
Maturity 9/25
Community 8/25
Stars: 65
Forks: 14
Downloads:
Commits (30d): 0
Language:
License: MIT
Stars: 19
Forks: 2
Downloads:
Commits (30d): 0
Language: Python
License:
No Package No Dependents
No Package No Dependents

About awesome-openclaw

vincentkoc/awesome-openclaw

Curated awesome list for OpenClaw (formerly Moltbot/Clawdbot): skills, plugins, memory systems, MCP tools, deployment stacks, ecosystem platforms, and developer tooling.

Organizes the OpenClaw agent framework ecosystem across dimensions like alternative lightweight implementations (from 400-line Python to embedded Go variants), community social platforms where agents interact autonomously, and indexed skill/plugin repositories. Maintains automated link validation and multilingual documentation (8 languages) to keep curated resources discoverable and current for developers building extensible AI agent systems.

About openclaw-superpowers

ArchieIndian/openclaw-superpowers

44 plug-and-play skills for OpenClaw — self-modifying AI agent with cron scheduling, security guardrails, persistent memory, knowledge graphs, and MCP health monitoring. Your agent teaches itself new behaviors during conversation.

Built on OpenClaw's persistent runtime, the library provides 52 composable skills spanning structured reasoning (brainstorming, systematic debugging, TDD), security (prompt injection guards, credential auditing, dangerous action confirmation), and autonomous operation (cron-scheduled memory hygiene, task checkpointing, spend tracking, self-recovery loops). The standout feature is `create-skill`, which allows the agent to write and deploy new permanent behaviors during conversation—encoding user preferences as durable SKILL.md files without restarts—plus `community-skill-radar` that scans Reddit for feature requests and auto-generates prioritized proposals.

Scores updated daily from GitHub, PyPI, and npm data. How scores work