# gBrain OpenClaw

> Use this tool when you need to manage complex knowledge graphs and store entities with associated timelines and evidence for AI agents. It solves problems related to data organization, search, and integration with multi-channel AI platforms, supporting use cases such as entity disambiguation and knowledge retrieval. The gBrain OpenClaw tool accepts entity data and timeline evidence as inputs and provides full-text search, backlinks, and tagging as outputs, making it ideal for applications requiring robust knowledge management and retrieval capabilities.

Canonical page: https://skillsregistry.net/skills/imphillip-gbrain-openclaw  
JSON: https://api.skillsregistry.net/v1/skills/imphillip-gbrain-openclaw

## Description

SQLite-based knowledge graph for AI agents that stores entities (people, companies, deals) with a compiled current understanding plus append-only timeline evidence. Supports full-text search, backlinks, tagging, and integrates with the OpenClaw multi-channel AI agent platform.

## Trust

- **Trust score (0–1):** 0.36
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/imphillip-gbrain-openclaw)
- **Repository:** <https://github.com/imphillip/gbrain-openclaw>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "imphillip-gbrain-openclaw"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/imphillip-gbrain-openclaw` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/imphillip-gbrain-openclaw/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt