# edge-llm-core

> edge-llm-core — dado458-edge-llm-core. Use this tool when you need to build autonomous AI agents with stateful and multi-tenant capabilities, such as Claude agents, that can operate inside MCP servers with memory and loop functionality. It solves problems related to creating agentic AI patterns, providing a new approach to AI development. The tool accepts git inputs and generates autonomous agent outputs, ideal for use cases requiring advanced AI autonomy and customization.

Canonical page: https://skillsregistry.net/skills/dado458-edge-llm-core  
JSON: https://api.skillsregistry.net/v1/skills/dado458-edge-llm-core

## Description

Build autonomous Claude agents that live inside MCP servers — stateful, multi-tenant, with memory and built-in loop. A new pattern for agentic AI.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/dado458/edge-llm-core)

## 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": "dado458-edge-llm-core"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dado458-edge-llm-core` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dado458-edge-llm-core/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