What makes Gbrain Multi-Agent Search notable?

2K downloads. Trust evidence available

How should Gbrain Multi-Agent Search be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

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, doc... Skill: Gbrain Multi-Agent Search Owner: my12121-beep Summary: Search and manage a local gbrain personal knowledge base (full-text search, semantic search, knowledge graph). Use when searching personal notes, emails, doc... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-16T03:47:35.067Z | user Initial release: bilingual (EN/CN) gbrain CLI wrapper for multi-agent knowledge base search Archive index: Archive v1.0.

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.0k

Updated

Oct 9, 2026

Version

1.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.0release · observed Apr 16, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s1788f5d2tjx1agedas2r3pw4h83xamt:gbrain-multi-agent-search

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-my12121-beep-gbrain-multi-agent-search/snapshot"

Documentation

CLAWHUB

7,410 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: gbrain-multi-agent-search
description: "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."
---

# Gbrain Multi-Agent Search

Local knowledge base with full-text search, semantic search, and knowledge graph. Requires [gbrain](https://github.com/nicepkg/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:
```
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

_meta.json

{
  "ownerId": "kn74dybbpw0neewpr5tyk77qs983wzw6",
  "slug": "gbrain-multi-agent-search",
  "version": "1.0.0",
  "publishedAt": 1776311255067
}

skill-card.md

## Description:

Search and manage a local gbrain personal knowledge base with full-text search, semantic search, and knowledge graph commands for notes, emails, documents, diary entries, and other stored knowledge.

This skill is ready for commercial/non-commercial use.

## Publisher:

[my12121-beep](https://clawhub.ai/user/my12121-beep)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and agent users use this skill to configure and run gbrain CLI workflows for querying a local personal knowledge base, reading matched pages, traversing graph links, and syncing or embedding markdown content.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill can access sensitive personal notes, emails, documents, and diary entries in a local gbrain or brain repository.

Mitigation: Install only for agents authorized to inspect that repository and limit repository access to the content needed for the task.

Risk: Embedding workflows may send private material to a remote OpenAI-compatible endpoint.

Mitigation: Use a local or self-hosted embedding backend for private material when possible and configure any remote endpoint deliberately.

Risk: Sync, embed, link, and related data-management commands can mutate the brain repository or knowledge graph.

Mitigation: Require explicit confirmation before running sync, embed, link, or other mutation commands.

Risk: Persistent setup examples include an OPENAI_API_KEY variable.

Mitigation: Avoid storing real API keys in persistent instruction files; provide credentials through controlled environment or secret-management mechanisms.

## Reference(s):

- [gbrain GitHub repository](https://github.com/nicepkg/gbrain)
- [ClawHub skill page](https://clawhub.ai/my12121-beep/skills/gbrain-multi-agent-search)

## Skill Output:

**Output Type(s):** [Text, Markdown, Shell commands, Configuration, Guidance]

**Output Format:** [Markdown with inline bash code blocks]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Produces command-oriented guidance for an agent to run local gbrain search, graph, sync, embed, statistics, and health-check workflows.]

## Skill Version(s):

1.0.0 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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