Central Intelligence
for Your Coding Agents
ByteRover is a self-improving memory layer for your AI coding agents—create, retrieve, share vibe-coding memories across projects and teams.
Designed For Dynamic AI Coding
ByteRover supports developer teams from all size to maximize their vibe-coding efficiency with AI.
Level Up Your Agent →
Instant AI IDE
Integration
Agent Auto-Save
& Recall
Effortless Memory Management
Team-Wide
Intelligence
Install Today
Integrate directly by adding ByteRover extension in your AI IDE. Byterover’s MCP make it compatible with any AI IDE, so you can start using without complicated configuration.

Agents auto-save and auto-recall memories while you are coding
With ByteRover’s custom instruction, your agent auto-checks the memory before writing code, and auto-saves what it learns.
Efficiently manage your memories
Memory Workspaces
Easily organize memories by project.
Important
Memories
Bookmark important memory so the agent treats them as high-priority.
Make Comments
Add your own notes and context to any memory to help your agent make smarter decisions
Delete & clean up
Remove outdated or irrelevant memories anytime. Keep your agent sharp and relevant.
Collective intelligence across your entire dev team
Easily add your teammates to any memory organization or specific workspaces to share best coding practices across projects.
Pricing
Begin your journey with the ByteRover for free—no payment required.

Learn more.

FAQs
We currently support:
- Cursor (via extension) ✅
- Windsurf (via extension) ✅
- Cline (via extension) ✅
- VS Code (via extension) ✅
- Zed (recently added!) ✅
- IntelliJ (coming soon!) 🔄
Great question! We're actually simplifying this. Currently, you can:
- Use one ByteRover "Memory Workspace" for multiple related projects
- Each workspace has its own API key for organization
- the memory workspace switching is handled automatically by our extensions
You have flexibility! You can:
- Set up automatic memory searching by adding our custom rules to your editor
- Manually ask your AI to search memories when needed
- Have the AI automatically store important information after successful tasks
Our users love storing:
- Code patterns: Preferred ways to structure API calls, database queries, etc.
- Debug solutions: How you solved tricky bugs
- Project context: Important domain knowledge and architectural decisions
- Library usage: Specific configurations and implementation patterns
Yes! Many users combine ByteRover with:
- Task management tools like Taskmaster
- Other MCP servers - use ide as the gate way
- Custom documentation systems
We're always open to integration suggestions!
This can be tricky! Corporate proxies sometimes block MCP servers. Try:
- Ensuring your editor's proxy settings are enabled
- Checking with your IT team about allowlisting our endpoints
- We're exploring proxy support improvements
We love feedback! You can:
- Drop a message in our Discord.
- Reach out to our team directly @ support@byterover.dev
- Share your ideas in our community discussions
We'd love to hear them!
- Leave us a review on Product Hunt product page
- Share your work to our community on Discord channel.
- Tag us on your social media. We’d appreciate any shout-out!
Thousands of dev teams are transtioning their vibe-coding motion with memory layers.