# LRSI

> LRSI — anamized-lrsi. Use this tool when you need to create a sovereign autonomous system that can self-improve and operate in a closed-loop, leveraging the LRSI Runtime Core and dual Blackwell hardware to manage and optimize its own performance, with integration capabilities via git for version control and collaboration. It solves problems related to autonomous system development, self-improvement, and closed-loop operation. Ideal for use cases requiring high-level autonomy and self-optimization, with inputs including system parameters and outputs including optimized system performance.

Canonical page: https://skillsregistry.net/skills/anamized-lrsi  
JSON: https://api.skillsregistry.net/v1/skills/anamized-lrsi

## Description

LRSI (Local Recursive Self-Improvement) — Autonomous Agentic Operating System. Sovereign closed-loop system on dual Blackwell hardware, built on the LRSI Runtime Core (IRSI).

## Trust

- **Trust score (0–1):** 1.00
- **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/ANAMIZED/LRSI)

## 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": "anamized-lrsi"
    }
  }
}
```

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