ByteRover
Persistent knowledge management for AI agents — store and retrieve project patterns, decisions, and architectural rules across sessions using the brv CLI.
byteroverincv2.0.0npx clawhub@latest install byteroverByteRover provides long-term memory for AI agents through a local knowledge management system. Using the brv CLI, your AI agent can store project patterns, architectural decisions, coding rules, and other contextual information as human-readable Markdown files in .brv/context-tree/. Before any task, the agent queries this knowledge base to recall relevant context, ensuring consistency across sessions.
Принцип работы
The workflow is simple: before thinking about a task, run brv query to retrieve relevant existing context from the knowledge base. After implementing changes, run brv curate to save new patterns and decisions. Both commands use a configured LLM provider (ByteRover's default provider works with no API key) to synthesize answers from stored context and to categorize new entries. Knowledge is stored as Markdown files that are version-controllable and human-readable.
Ключевые возможности
brv query with natural language questionsbrv curate, optionally including up to 5 source filesbrv curate view, filter by time and status.brv/context-tree/, fully version-controllableТребования
Сценарии использования
Как установить
npx clawhub@latest install byterovernpx clawhub@latest install byteroverЧасто задаваемые вопросы
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