Skip to main contentThe remote space stores and syncs your context tree—the essential knowledge you and your team need for agentic development. ByteRover manages and processes all context pushed to this space.
How Agentic Processing Works
When you push your context tree, ByteRover processes it through multi-step reasoning:
Domain Detection:
Categorizes context into relevant domains (code_style, testing, structure, etc.) using semantic understanding, not keyword matching.
Duplicate Prevention:
Searches existing knowledge before creating new topics to prevent duplication and suggests updates to related content.
Hierarchical Organization:
Structures context into domains → topics → subtopics with explicit relations, creating a navigable knowledge graph.
Relation Mapping:
Identifies and creates explicit links between related topics using @domain/topic notation for intelligent navigation.
Why This Matters
Intelligent, not automatic:
Unlike vector similarity systems, ByteRover uses Agentic Search, which understands context semantically and makes reasoned organizational decisions.
Hierarchical structure prevents chaos:
Knowledge is organized into a clear, browsable hierarchy, not a flat collection of documents.
Explicit relations over similarity scores:
Relations are intentional and explicit, not based on embedding similarity, making retrieval more reliable.
After reviewing locally with brv status, push to the remote space:
Managing Context in the Remote Space
The remote space provides tools to:
- Review hierarchical structure and relations generated during processing
- Edit topic organization and content to fit your team’s needs
- Refine relations between topics for improved navigation
- Remove or merge duplicate topics
This hands-on management keeps your remote context space clean, organized, and optimized for intelligent retrieval.
Pull Updates from Remote
Team members sync the organized context tree to their local environment:
This updates your local .brv/context-tree/ directory with the latest organized knowledge. 
