ByteRover Knowledge Management
Use the `brv` CLI to manage your project's long-term memory.
Best use case
ByteRover Knowledge Management is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use the `brv` CLI to manage your project's long-term memory.
Teams using ByteRover Knowledge Management should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/byterover/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ByteRover Knowledge Management Compares
| Feature / Agent | ByteRover Knowledge Management | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use the `brv` CLI to manage your project's long-term memory.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# ByteRover Knowledge Management Use the `brv` CLI to manage your project's long-term memory. Install: `npm install -g byterover-cli` Knowledge is stored in `.brv/context-tree/` as human-readable Markdown files. **No authentication needed.** `brv query` and `brv curate` work out of the box. Login is only required for cloud sync (`push`/`pull`/`space`) — ignore those if you don't need cloud features. ## Workflow 1. **Before Thinking:** Run `brv query` to understand existing patterns. 2. **After Implementing:** Run `brv curate` to save new patterns/decisions. ## Commands ### 1. Query Knowledge **Overview:** Retrieve relevant context from your project's knowledge base. Uses a configured LLM provider to synthesize answers from `.brv/context-tree/` content. **Use this skill when:** - The user wants you to recall something - Your context does not contain information you need - You need to recall your capabilities or past actions - Before performing any action, to check for relevant rules, criteria, or preferences **Do NOT use this skill when:** - The information is already present in your current context - The query is about general knowledge, not stored memory ```bash brv query "How is authentication implemented?" ``` ### 2. Curate Context **Overview**: Analyze and save knowledge to the local knowledge base. Uses a configured LLM provider to categorize and structure the context you provide. **Use this skill when:** - The user wants you to remember something - The user intentionally curates memory or knowledge - There are meaningful memories from user interactions that should be persisted - There are important facts about what you do, what you know, or what decisions and actions you have taken **Do NOT use this skill when:** - The information is already stored and unchanged - The information is transient or only relevant to the current task, or just general knowledge ```bash brv curate "Auth uses JWT with 24h expiry. Tokens stored in httpOnly cookies via authMiddleware.ts" ``` **Include source files** (max 5, project-scoped only): ```bash brv curate "Authentication middleware details" -f src/middleware/auth.ts ``` **View curate history:** to check past curations - Show recent entries (last 10) ```bash brv curate view ``` - Full detail for a specific entry: all files and operations performed (logId is printed by `brv curate` on completion, e.g. `cur-1739700001000`) ```bash brv curate view cur-1739700001000 ``` - List entries with file operations visible (no logId needed) ```bash brv curate view detail ``` - Filter by time and status ```bash brv curate view --since 1h --status completed ``` - For all filter options ```bash brv curate view --help ``` ### 3. LLM Provider Setup `brv query` and `brv curate` require a configured LLM provider. Connect the default ByteRover provider (no API key needed): ```bash brv providers connect byterover ``` To use a different provider (e.g., OpenAI, Anthropic, Google), list available options and connect with your own API key: ```bash brv providers list brv providers connect openai --api-key sk-xxx --model gpt-4.1 ``` ### 4. Cloud Sync (Optional) **Overview:** Sync your local knowledge with a team via ByteRover's cloud service. Requires ByteRover authentication. **Setup steps:** 1. Log in: Get an API key from your ByteRover account and authenticate: ```bash brv login --api-key sample-key-string ``` 2. List available spaces: ```bash brv space list ``` Sample output: ``` brv space list 1. human-resources-team (team) - a-department (space) - b-department (space) 2. marketing-team (team) - c-department (space) - d-department (space) ``` 3. Connect to a space: ```bash brv space switch --team human-resources-team --name a-department ``` **Cloud sync commands:** Once connected, `brv push` and `brv pull` sync with that space. ```bash # Pull team updates brv pull # Push local changes brv push ``` **Switching spaces:** - Push local changes first (`brv push`) — switching is blocked if unsaved changes exist. - Then switch: ```bash brv space switch --team marketing-team --name d-department ``` - The switch automatically pulls context from the new space. ## Data Handling **Storage**: All knowledge is stored as Markdown files in `.brv/context-tree/` within the project directory. Files are human-readable and version-controllable. **File access**: The `-f` flag on `brv curate` reads files from the current project directory only. Paths outside the project root are rejected. Maximum 5 files per command, text and document formats only. **LLM usage**: `brv query` and `brv curate` send context to a configured LLM provider for processing. The LLM sees the query or curate text and any included file contents. No data is sent to ByteRover servers unless you explicitly run `brv push`. **Cloud sync**: `brv push` and `brv pull` require authentication (`brv login`) and send knowledge to ByteRover's cloud service. All other commands operate without ByteRover authentication. ## Error Handling **User Action Required:** You MUST show this troubleshooting guide to users when errors occur. "Not authenticated" | Run `brv login --help` for more details. "No provider connected" | Run `brv providers connect byterover` (free, no key needed). "Connection failed" / "Instance crashed" | User should kill brv process. "Token has expired" / "Token is invalid" | Run `brv login` again to re-authenticate. "Billing error" / "Rate limit exceeded" | User should check account credits or wait before retrying. **Agent-Fixable Errors:** You MUST handle these errors gracefully and retry the command after fixing. "Missing required argument(s)." | Run `brv <command> --help` to see usage instructions. "Maximum 5 files allowed" | Reduce to 5 or fewer `-f` flags per curate. "File does not exist" | Verify path with `ls`, use relative paths from project root. "File type not supported" | Only text, image, PDF, and office files are supported. ### Quick Diagnosis Run `brv status` to check authentication, project, and provider state.
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