# KunAvatar

> KunAvatar — kunlabai-kunavatar. Use this tool when you need to integrate MCP tools and utilize short-term and long-term memory capabilities in a locally deployed agent application, built on the Ollama framework, to enhance reasoning and problem-solving. It solves problems related to memory management and tool integration, providing a comprehensive interface for inputs and outputs. Ideal for use cases requiring local deployment and advanced memory features, such as git-based projects.

Canonical page: https://skillsregistry.net/skills/kunlabai-kunavatar  
JSON: https://api.skillsregistry.net/v1/skills/kunlabai-kunavatar

## Description

基于ollama推理框架本地部署的Agent应用，实现MCP工具调用，短长期记忆等功能。||  A locally deployed agent application built on the Ollama, featuring MCP tool integration along with both short-term and long-term memory support.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/KunLabAI/KunAvatar)

## 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": "kunlabai-kunavatar"
    }
  }
}
```

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