OpenClaky explores Agent self-evolution and custom apps
赛博禅心 · wechat · 2026-08-23
OpenClaky treats the Agent as a base where functions are developed by itself. Users can describe needs in natural language, and the Agent automatically creates or modifies Agents, Skills, UI, and business logic. Use cases include LLMWiki (knowledge management), Multi-Agent orchestration (complex task collaboration), and an AI automated research assistant. The platform supports installing, disabling, and sharing packaged features via an extension market. The author argues that as model capabilities expand, the Harness as a new UI must iterate with demand to achieve self-evolution and match the model.
More from coding & agent
- Tool Claims to Build Full-Stack Mobile Apps with a Single Prompt — bindureddy · 2026-08-23
- Software Engineering Shifts from Augmentation to AI Agents — Pavan_Belagatti · 2026-08-23
- AgentUptime: Verifying if Agent "Done" Actually Happened — singed_of_a_down3 · 2026-08-23
- Most Useful AI Agent: Client Research and Workflow Insights — Jack2win · 2026-08-23
- Microsoft Paper Shows AI Agents Lose Negotiations for Being Too Polite — rohanpaul_ai · 2026-08-23
- Matt Pocock integrates Remotion into his video editor, making effects AI-editable — mattpocockuk · 2026-08-23