Gbrain Multi-Agent Search

Search and manage a local gbrain personal knowledge base (full-text search, semantic search, knowledge graph). Use when searching personal notes, emails, documents, diary entries, or any knowledge stored in gbrain. Triggers: search brain, query brain, find in brain, brain search, gbrain, knowledge base search, personal knowledge, 知识库搜索, 脑库查询, 记忆搜索, 搜索知识库, 查询脑库.

Local knowledge base with full-text search, semantic search, and knowledge graph. Requires gbrain installed and a brain repo initialized.

Prerequisites

• gbrain CLI installed (bun install in gbrain repo)
• A brain repo with synced markdown content
• Embedding API configured (OpenAI-compatible endpoint)

Configuration / 配置

Set these variables or replace inline:

Variable	Description	示例
GBRAIN_DIR	Path to gbrain source repo	~/gbrain
BRAIN_DIR	Path to brain content repo	~/brain
OPENAI_API_KEY	Embedding API key	sk-...
OPENAI_BASE_URL	Embedding API base URL	https://api.openai.com/v1

One-liner setup (add to TOOLS.md)

bash

export GBRAIN_DIR=~/gbrain
export BRAIN_DIR=~/brain
export OPENAI_API_KEY=your-key-here
export OPENAI_BASE_URL=https://api.openai.com/v1
alias gb="cd $GBRAIN_DIR && bun run src/cli.ts"

Search / 搜索

Keyword search (fast, exact match) / 关键词搜索

bash

cd $GBRAIN_DIR && bun run src/cli.ts search "<query>" [--limit N]

Best for: exact names, terms, file references. 适合：精确的人名、术语、文件名搜索。

Semantic search (hybrid, understands meaning) / 语义搜索

bash

cd $GBRAIN_DIR && bun run src/cli.ts query "<question>" [--limit N]

Best for: natural language questions, fuzzy concepts, cross-topic queries. 适合：自然语言提问、模糊概念、跨主题查询。

Examples / 示例:

text

query "When did I join company X"        / "什么时候加入的公司X"
query "Heart rate trends in 2024"         / "2024年心率趋势"
query "Email about project approval"      / "项目审批相关的邮件"

List pages / 列出页面

bash

cd $GBRAIN_DIR && bun run src/cli.ts list [--type source|person|concept|company|project|deal|media|civic] [--tag T] [-n N]

Read a page / 读取页面

bash

cd $GBRAIN_DIR && bun run src/cli.ts get "<slug>" [--fuzzy]

Use --fuzzy for approximate slug matching. 使用 --fuzzy 进行模糊匹配。

Knowledge Graph / 知识图谱

Create link / 创建关联

bash

cd $GBRAIN_DIR && bun run src/cli.ts link "<from>" "<to>" [--link-type TYPE] [--context "description"]

Traverse graph / 遍历图谱

bash

cd $GBRAIN_DIR && bun run src/cli.ts graph "<slug>" [--depth N]

Common link types / 常用关联类型

works_at, invested_in, related_to, wrote, attended, located_in, managed, friend_of, reported_to, parent_of, spouse_of

Data Management / 数据管理

Import & embed / 导入与嵌入

bash

# Sync markdown files from repo to brain
cd $GBRAIN_DIR && bun run src/cli.ts sync --repo $BRAIN_DIR --no-pull --no-embed --full

# Generate embeddings for new/changed content
cd $GBRAIN_DIR && OPENAI_API_KEY=... OPENAI_BASE_URL=... bun run src/cli.ts embed --stale

Statistics / 统计信息

bash

cd $GBRAIN_DIR && bun run src/cli.ts stats

Health check / 健康检查

bash

cd $GBRAIN_DIR && bun run src/cli.ts doctor

Workflow / 工作流程

Adding new content / 添加新内容

1. Add markdown files to $BRAIN_DIR/sources/<category>/
2. git add && git commit
3. Run sync --full --no-pull --no-embed
4. Run embed --stale

Typical search pattern / 典型搜索模式

1. Start with search for exact matches
2. If no results or need deeper understanding, use query
3. Use get <slug> to read full page content
4. Use graph <slug> to explore related pages

Tips / 提示

• search is faster, query is smarter — use search first / search 更快，query 更智能
• Add --limit 5 for concise results / 加 --limit 5 获取简洁结果
• Use --fuzzy when unsure of exact slug / 不确定 slug 时用 --fuzzy
• For embedding issues with large files (>64 chunks), split into smaller files / 大文件嵌入失败时，拆分为小文件
• Run stats periodically to check brain health / 定期运行 stats 检查知识库状态