# knowledge-graph

> Use this tool when you need to accumulate and recall domain-specific knowledge, solve problems that require long-term memory and expertise, and automate the retrieval of relevant information. It accepts inputs such as mentorship data, domain knowledge, and queries, and outputs relevant information and recalled knowledge. Ideal for use cases where AI agents require continuous learning, memory management, and accurate information retrieval.

Canonical page: https://skillsregistry.net/skills/chenliangchong-knowledgegraph  
JSON: https://api.skillsregistry.net/v1/skills/chenliangchong-knowledgegraph

## Description

Long-term memory system for AI agents that accumulates domain expertise through mentorship, automatically recalls relevant knowledge, and supports memory decay and growth with anti-fabrication.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/od35tln6ia)
- **Repository:** <https://github.com/ChenLiangChong/knowledgeGraph>

## 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": "chenliangchong-knowledgegraph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chenliangchong-knowledgegraph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chenliangchong-knowledgegraph/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