Research-engine

**Quick judgement** Strong fit for automating lightweight, tech-focused research workflows and generating actionable development plans from external signals. Best used as a trend-scanning and roadmap-support tool rather than as a source of citation-grade, highly curated research. **What it does well** - Aggregates information from multiple live sources (web, GitHub Trending, Moltbook) with minimal setup. - Performs simple trend analysis (keyword frequencies, topic extraction) and wraps insights into structured Markdown reports. - Automatically derives short-, mid-, and long-term development plans from findings, making it useful for self-improving agents or planning loops. - Offers flexible usage patterns: CLI, Python API, cron/scheduled runs, with reports persisted to disk for history tracking. **Key risks / limitations** - **External dependency fragility:** Heavy reliance on third-party sites (web search provider, GitHub, Moltbook). Any HTML/API changes, rate limits, or access blocks can degrade functionality and reliability. - **Data quality and bias:** Trend and plan generation depends entirely on the sampled sources; it is not a substitute for deep, human-verified research, and may overfit to hype or noisy signals. - **Safety and content exposure:** Pulls arbitrary web content. If used in sensitive domains, additional filtering/sanitization and policy checks may be required to avoid surfacing inappropriate or unsafe material. - **Environment assumptions:** Hardcoded workspace paths (e.g., `/home/vken/.openclaw/workspace/research/`) and specific ecosystem integration (Consciousness Awakening) may require adjustment in other deployments. **Recommended scenarios** - Periodic automated monitoring of AI/tech trends to inform roadmap reviews or feature planning. - Agents that need to regularly "look outward" beyond their memory to discover new tools, libraries, or approaches. - Developer productivity and planning tools that turn high-level research queries into structured outlines and concrete to-do plans. - Internal R&D or experimentation environments where speed and breadth of trend coverage matter more than rigorous citation and source vetting.