Byterover - Memory layer for your AI coding agents
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Byterover is a self-improving memory layer for your AI coding agents—create, retrieve, manage vibe-coding best practices across projects and teams. You can start now by installing Byterover's extension via your AI IDE like Cursor, Windsurf, and more.
Replies
Awesome products! Didn't know what i would do without this Cursor memory doesn't allow exporting to other tools 🥹
Byterover
@kynamng Hey Nam! Really appreciate your idea about syncing Cursor’s memory with ByteRover — it’s a great one, and we’re definitely working on it. Stay tuned, exciting stuff coming soon!
@andy_byterover
Byterover quietly solves one of the most overlooked pain points in AI coding tools: they forget you. Your naming patterns, folder logic, the way you structure handlers or write that one clever utility file—it’s gone the moment you change context.
But Byterover? It’s that one AI layer that actually remembers how you code, not just how code works.
🔍 What it really does?
Byterover adds a “memory vault” inside your IDE (Cursor, Windsurf, Zed, etc.)—letting your AI coding assistant store, retrieve, and reuse your logic across projects, or even across teams. It’s like giving Copilot long-term memory without giving up control.
🚀 Why it matters?
If you’ve ever had to teach the same abstraction or structure to your agent three times in three projects… you know the frustration. Byterover stops that loop.
You can:
Organize memories by workspace/project
Prioritize by starring key examples
Share patterns with teammates, so your assistant collaborates like a real dev partner.
It’s one of those “why didn’t this exist sooner?” moments. The fact that it fits inside your current IDE flow—no switch, no lock-in—is a smart move too.
💡 Creator-to-creator suggestion
Right now, memory feels project-based and dev-centric—which is powerful. But imagine this taken one level up:
Tags or categories to link design patterns across different stacks
Memory snapshots for comparing evolution of logic over time
Maybe even contextual comments where the agent reminds you why a decision was made
That’s not a shortcoming—it’s a horizon. And knowing how tuned-in the Byterover team is, I wouldn’t be surprised if that’s already on the roadmap.
🛠 Real-world workflow
Let’s say you’re building a Node API and always abstract your services in a specific way. Byterover sees the pattern, remembers it. On your next project—or your coworker’s—the agent auto-suggests the same structure, imports, file split, naming logic. It feels like that one AI dev who just gets your style.
And with team memory sharing, you're not just saving time—you’re scaling consistency.
🎯 The verdict
Byterover isn’t just another AI wrapper—it’s memory infrastructure. Lightweight, dev-native, and meaningful.
It’s exactly the kind of tool we spot and track at ThatOneAI—those subtle game-changers that improve how builders actually build.
Seems very powerful, how much better would this be than cursor rules?
Byterover
@skyler_ji Hey Skyler, thanks a lot for the great question!
We think the Cursor rules system is an awesome feature for customizing agents — and ByteRover is built to support that in a few key ways:
• It’s especially helpful when you need to store domain-specific concepts, like if you’re building an investment platform, trading bot, or asset management tool. These kinds of apps usually require a lot of specialized knowledge, and ByteRover makes it easy to save and retrieve that.
• Behind the scenes, ByteRover uses semantic search, which makes it much more efficient for your agent to find the right information when it needs it.
• Another nice bonus: ByteRover is IDE-agnostic, so your teammates can use it with whatever IDE they prefer!
Let us know if you have more questions — we love hearing from you!
Teammates.ai
Congrats on the launch. The idea of agents remembering context inside the IDE is spot on.
Curious how you're handling memory under the hood. Is it something devs can inspect or tweak?
Byterover
@kareemayyad thanks Here’s a quick breakdown of how ByteRover works behind the scenes:
We’ve built an agent that takes care of all the memory management tasks for you — it handles concept detection, creates new memories, updates existing ones, and removes outdated stuff when needed.
For storage, we’re using both a vector DB and a graph DB. This combo helps us capture not just the meaning (semantics) but also the structure of the agent’s experience — all to support smarter reasoning for vibe coding agents. I’m a developer myself, and honestly, I hate when we don’t have full control over things. So in the next version, we’re giving users more power — like being able to edit memory directly. We’re even planning to open-source the memory agent, so you can plug it into your system however you like.
Good jobs team! I wonder if it will be possible to edit the memory on the dashboard later? While the agent has done a pretty good job of analyzing and summarizing the context, I think there will be cases when we might want to edit the memories ourselves (e.t.c, security / customization of memory).
Byterover
@anh_nguyen78 The memory edit feature has been one of the most requested — and we’ve made it a top priority! It’s coming very soon, so stay tuned!
🧠 Giving AI the context it craves—memory makes every line smarter.
Byterover gives AI coding agents real "memory," helping teams maintain consistent best practices across projects. The experience feels smooth and is especially useful for long-term maintenance of complex codebases.
I find Byterover incredibly helpful in real-world coding scenarios—it adds a memory layer to AI coding agents that actually feels like working with a teammate who remembers everything.
A promising Vietnamese product. Wishing the project great success!
Byterover
@quang_vu_l_u_cong thanks it would be great if you tried out the product and leave us the feedbacks
Scrapeless
Hi Byterover AI team,
Big congratulations on your product launch — it looks truly impressive and caught our attention! 🚀
I’m Liam from Scrapeless. We build browser infrastructure and scraping tools designed for AI — including our Scraping Browser, ChatGPT Scraper, and Deep SERP API — helping companies get structured data quickly and reliably into their AI workflows and analytics systems.
We’d love to offer you free access to our tools in exchange for a mention or shoutout on your Twitter or LinkedIn. We’re also happy to cover any promotion costs to help boost your visibility.
If this sounds interesting, I’d love to chat more — feel free to suggest a time or just reply here!
Best,
Liam