Cipher is an open-source memory layer, connected to AI IDEs and CLIs through MCP. Auto-generate coding memories that scale with your code-base, auto-retrieve relevant coding memories and knowledge across IDEs, projects and teams.
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 🫶🏻
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Nice work Duy, Cipher looks solid. We’re curating top dev tools at bestofweb .site, would be great to include ByteRover there too.
@nimaaksoy Thanks Nima! That would be awesome—really appreciate you considering ByteRover for bestofweb.site. Let me know if you need any info or assets from our side!
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Impressive work! 🔥
Byterover adds real memory to AI coding agents, making them smarter across sessions and teams. The IDE integrations and open-source Cipher engone are impressive.
Excited to see how this evolves—especially for larger codebases and team workflows. Congrats on the launch!
@tim_bou Thanks so much, Tim! Really appreciate your kind words and support. We’re excited about what’s ahead and can’t wait to share more updates as ByteRover grows. Stay tuned, and thanks again for cheering us on!
@tim_bou Thank you a lot. We would love your contribution
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Congrats! Self-hosting an AI memory engine like Kimi K2 requires powerful hardware and DevOps skills. How do you plan to help users manage these high infrastructure demands and setup complexity
@vouchy Thanks so much for your thoughtful question! 😊
Cipher is the open-source AI engine powering ByteRover. Our goal with Cipher is to give users maximum flexibility for integrating agentic memory layers into their own products. For anyone who prefers not to handle the infrastructure or DevOps complexity themselves, ByteRover offers a managed cloud version of Cipher—so you can just focus on building, and we take care of the rest!
Really appreciate your interest—let me know if you have more questions or want to try it out!
@dhruvmaradiya thank you a lot. We would love your feedback and contribution also. Looking forward to your application with cipher 🙌🏻
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Huge respect to the team — love the idea of memory layers that travel with the dev, across tools and teams. The System 1 / System 2 framing is particularly clever.
Quick question: as you scale adoption across larger teams or contributors, how are you thinking about support or real-time guidance? Especially when something breaks deep in context memory?
We’ve been thinking a lot about this space — launching soon on PH with Exthalpy, a live AI video agent to help users in those critical stuck moments. Would love your support when we go live 🙌
@udit_akhouri yea sure, it's such a good use case. Because codebase will be more larger by time, and later user wilk take time to adopt with huge project. Go for it my friend, we are looking for your product launch.
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Amazing!!👏 Congratulations to the launch!🎉
This tool must has immense potential for streamlined development and enhanced AI capabilities. Kudos to the team for pushing the boundaries of innovation! 👏💻
@sania_zahid Thank you so much for your kind words and support! We're thrilled you see the potential in ByteRover and appreciate your encouragement. Stay tuned—lots more innovation ahead!
Replies
Byterover
Byterover
Nice work Duy, Cipher looks solid. We’re curating top dev tools at bestofweb .site, would be great to include ByteRover there too.
Byterover
@nimaaksoy Thanks Nima! That would be awesome—really appreciate you considering ByteRover for bestofweb.site. Let me know if you need any info or assets from our side!
Impressive work! 🔥
Byterover adds real memory to AI coding agents, making them smarter across sessions and teams. The IDE integrations and open-source Cipher engone are impressive.
Excited to see how this evolves—especially for larger codebases and team workflows. Congrats on the launch!
Byterover
@tim_bou Thanks so much, Tim! Really appreciate your kind words and support. We’re excited about what’s ahead and can’t wait to share more updates as ByteRover grows. Stay tuned, and thanks again for cheering us on!
Byterover
Congrats! Self-hosting an AI memory engine like Kimi K2 requires powerful hardware and DevOps skills. How do you plan to help users manage these high infrastructure demands and setup complexity
Byterover
@vouchy Thanks so much for your thoughtful question! 😊
Cipher is the open-source AI engine powering ByteRover. Our goal with Cipher is to give users maximum flexibility for integrating agentic memory layers into their own products. For anyone who prefers not to handle the infrastructure or DevOps complexity themselves, ByteRover offers a managed cloud version of Cipher—so you can just focus on building, and we take care of the rest!
Really appreciate your interest—let me know if you have more questions or want to try it out!
Teable
Congratulations! I happened to be troubled by the problem that cloude code couldn't obtain the context of the cursor. It was very timely!
Byterover
GAIA
Excited to see this in action
Byterover
Huge respect to the team — love the idea of memory layers that travel with the dev, across tools and teams. The System 1 / System 2 framing is particularly clever.
Quick question: as you scale adoption across larger teams or contributors, how are you thinking about support or real-time guidance? Especially when something breaks deep in context memory?
We’ve been thinking a lot about this space — launching soon on PH with Exthalpy, a live AI video agent to help users in those critical stuck moments. Would love your support when we go live 🙌
All the best,
Udit (fellow PH builder)
Byterover
Byterover
@sania_zahid Thank you so much for your kind words and support! We're thrilled you see the potential in ByteRover and appreciate your encouragement. Stay tuned—lots more innovation ahead!
Byterover
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Hi, like the reggae vibe of your gradient palette ;) 🪴
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