OpenClaw-Superpowers: A Native Port of Jesse Vincent's Superpowers Framework Without Claude Code Dependency
Jesse Vincent's superpowers framework is a structured approach to AI-assisted development that is plan-first, test-driven, and includes a two-stage review loop. Existing ClawHub bridges for it are thin proxies that route Claude Code skill invocations through the gateway—they work but don't feel native. Now, a Reddit user has ported it from scratch for OpenClaw, removing the Claude Code dependency entirely.
Key Details
- Native commands: The port uses
sessions_spawnfor agent dispatch andupdate_planfor task tracking. - Three dedicated agents: The workflow is wired together by a coding orchestrator, an implementer, and a reviewer. The main session simply delegates—it does not manage any of the inner loop.
- README for agents, not humans: The README is written primarily for OpenClaw agents to follow. The idea is that you clone the repo and ask your assistant to set it up for you. It walks through a Q&A (model choices, branch completion strategy, review intensity) before touching anything.
- License: MIT.
Feedback is welcome, especially from those who have used the original superpowers and have opinions on what may be wrong in this port.
📖 Read the full source: r/openclaw
👀 See Also
Claude Octopus v8.48: Multi-AI Orchestration Plugin for Development Workflows
Claude Octopus v8.48 is an open-source plugin that orchestrates Claude, Codex, and Gemini AI models in parallel with distinct roles across development phases. It includes a 75% consensus gate between phases, fresh context windows for complex tasks, and specific commands like /octo:embrace for full lifecycle development.
Prime Agent: A Self-Improving RLM Coding Harness with Persistent REPL and Agent CRUD
Prime Agent is an open-source coding harness built on a persistent IPython kernel and a Recursive Language Model, letting agents manage their own context and sub-agents.
A 7-File Governance Layer to Prevent LLM Session Drift
A developer created a governance layer with seven files to prevent Claude from silently undoing architectural decisions across sessions. The system includes active_context.md, contracts.md, and decisions.md files with a strict execution loop.
Testing δ-Mem on Apple Silicon: MLX Implementation and Benchmarks
δ-mem paper implemented via mlx on a MacMini 64GB shows mixed but promising local benchmarks, with gains in realistic replay scenarios.