Byterover

Hi Product Hunt Community, Having received positive feedback from the community since launching ByteRover, we have decided to open-source our core AI engine - memory layer. This version Cipher got a major upgrade since latest version of Byterover, rolled out last month, with improved memory search tool, and faster memory creation. Especially this time, we open-source it so that developers can self-host, contribute and use it dynamically. Key feature of Cipher: 🧠 Auto-generates coding memories that grow with your codebase 🔌 Works with any IDE — including modern models like QwenCode, Trae, Kimi K2, Kiro — not just VS Code, Cursor, or GitHub Copilot 🔁 Seamless memory + context switching across IDEs 👥 Share AI coding memories across your team in real time 🧬 Dual Memory Layer: System 1: Programming concepts, business logic, past interactions System 2: Reasoning steps behind the model’s code generation ⚡️ Zero-config installation on your IDE With 1 month of work putting into this project, we hope this enables more developers and researchers to build advanced coding agents and drive innovation forward together. Would love your feedback, contribution and support if ByteRover brings you value 🙌

Hi Product Hunt, We are excited to contribute to community an opensource memory layer for coding agents. It would be nice if we receive contribution from community to improve memory layer, because it helps vibe coders more efficiently. Would love your feedback 🫶🏻