# io.github.ldclabs/KIP

> Use this tool when you need to enable memory persistence and knowledge evolution in AI systems, solving problems of data retention and explainability in complex interactions. It takes in knowledge graphs as input and outputs explainable interactions, facilitating transparency and understanding. Ideal for use cases requiring long-term memory and adaptive learning capabilities.

Canonical page: https://skillsregistry.net/skills/io-github-ldclabs-kip  
JSON: https://api.skillsregistry.net/v1/skills/io-github-ldclabs-kip

## Description

Knowledge Graphs to enable memory persistence, knowledge evolution, explainable interaction.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.ldclabs%2FKIP)
- **Repository:** <https://github.com/ldclabs/KIP>

## 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": "io-github-ldclabs-kip"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-ldclabs-kip` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-ldclabs-kip/pull`

---
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