LRSI

Name: ANAMIZED/LRSI
Author: ANAMIZED

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

MCP ServersOfficial Registry1 stars0 forks● HTMLNOASSERTIONUpdated today

ClaudeWave Trust Score

80/100

✓ Trusted

Passed

✓Actively maintained (<30d)
✓Clear description
✓Topics declared
✓Documented (README)

Flags

!Licence file present but not machine-readable

Last scanned: 8/23/2026

Install in Claude Code / Claude Desktop

Method: pip / Python · -e

Claude Code CLI

claude mcp add lrsi -- python -m -e

claude_desktop_config.json (Claude Desktop)

{
  "mcpServers": {
    "lrsi": {
      "command": "python",
      "args": ["-m", "-e"]
    }
  }
}

1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).

2. Replace any <placeholder> values with your API keys or paths.

3. Restart Claude. The MCP server and its tools appear automatically.

💡 Install first: pip install -e

Use cases

Finance Creative Dev Tools

About

MCP Servers overview

# LRSI

[![CI](https://github.com/ANAMIZED/LRSI/actions/workflows/ci.yml/badge.svg)](https://github.com/ANAMIZED/LRSI/actions/workflows/ci.yml)
[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](LICENSE)
[![Python 3.11+](https://img.shields.io/badge/python-3.11+-blue.svg)](https://www.python.org/downloads/)
[![MCP](https://img.shields.io/badge/MCP-server-purple.svg)](src/lrsi/mcp/)
[![SDK](https://img.shields.io/badge/SDK-Python-green.svg)](src/lrsi/sdk/)
[![CLI](https://img.shields.io/badge/CLI-lrsi-orange.svg)](src/lrsi/cli.py)
[![API](https://img.shields.io/badge/API-FastAPI-009688.svg)](src/lrsi/api/)

**LRSI (Local Recursive Self-Improvement) — Autonomous Agentic Operating System**

Sovereign, closed-loop system on dual Blackwell hardware. Built on the open **LRSI Runtime Core** ([marcuszimmermann365/IRSI](https://github.com/marcuszimmermann365/IRSI)). Every mutation is forced through a fail-closed boundary and append-only event trail.

**[Support Agentic OS Kernels ($99)](https://buy.stripe.com/bJecN63wObPv6Bf7Zm43S02)** · **[Agentic OS Cycle ($0.75)](https://buy.stripe.com/3cI14o8R8dXD3p3frO43S04)** · **[Public Goods Support](https://donate.stripe.com/00w5kE3wOg5L8Jn2F243S00)**

### Non-custodial USDC (preferred for agents)

| Network | Address |
|---------|---------|
| **Base / Ethereum** | `0xD3d0E9eDAe3Ac7bb199a8EAA761BdA423b878438` |
| **Solana** | `ETQwWf19axArsY493UfC6bxe2BmEzmzvCb58PPnC38A` |

*Related:* [rui](https://github.com/ANAMIZED/rui) · [server-os](https://github.com/ANAMIZED/server-os) · [openmesha](https://github.com/ANAMIZED/openmesha) · [OpenGOS](https://github.com/ANAMIZED/OpenGOS)

## Surfaces

| Surface | Entry |
|---------|-------|
| **CLI** | `lrsi status` / `lrsi workflow` / `lrsi mutate` / `lrsi audit` |
| **SDK** | `from lrsi.sdk import LRSIClient` |
| **REST API** | `lrsi-api` → http://localhost:8080/docs |
| **MCP Server** | `lrsi-mcp` |
| **Multi-agent** | improver → evaluator → council + `skills/multi-agent-workflow/` |
| **CI** | `.github/workflows/ci.yml` |
| **Verify** | `bash scripts/verify.sh` |

## Quick Start

```bash
pip install -e ".[dev,mcp,api]"
bash scripts/verify.sh
lrsi-api
```

## Design principles

1. Fail closed
2. Every mutation through the LRSI boundary
3. Event-sourced audit trail
4. Evidence-gated promotion
5. Multi-surface (CLI · SDK · API · MCP · workflows)

## License

Apache-2.0

Topics

agent-osapache-2-0mcpmcp-servermodel-context-protocolpythonself-improvement

Frequently asked

What people ask about LRSI

What is ANAMIZED/LRSI?

ANAMIZED/LRSI is mcp servers for the Claude AI ecosystem. LRSI (Local Recursive Self-Improvement) — Autonomous Agentic Operating System. Sovereign closed-loop system on dual Blackwell hardware, built on the LRSI Runtime Core (IRSI). It has 1 GitHub stars and its last recorded update is dated 2026-08-23.

How do I install LRSI?

You can install LRSI by cloning the repository (https://github.com/ANAMIZED/LRSI) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is ANAMIZED/LRSI safe to use?

Our security agent has analyzed ANAMIZED/LRSI and assigned a Trust Score of 80/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.

Who maintains ANAMIZED/LRSI?

ANAMIZED/LRSI is maintained by ANAMIZED. The last recorded GitHub activity is dated 2026-08-23, with 0 open issues.

Are there alternatives to LRSI?

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

1-click deploy

Deploy LRSI to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

Vercel Railway Render

Embeddable badge

Maintain this repo? Add a badge to your README

Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.

Markdown (README)

[![Featured on ClaudeWave](https://claudewave.com/api/badge/anamized-lrsi)](https://claudewave.com/repo/anamized-lrsi)

HTML

<a href="https://claudewave.com/repo/anamized-lrsi"><img src="https://claudewave.com/api/badge/anamized-lrsi" alt="Featured on ClaudeWave: ANAMIZED/LRSI" width="320" height="64" /></a>

More MCP Servers

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

201.9k60.3kTypeScript

MCP ServersaiapisInstall

open-webui

today

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

149.6k21.8kPython

MCP ServersaillmInstall

google-gemini

gemini-cli

today

An open-source AI agent that brings the power of Gemini directly into your terminal.

106.6k14.5kTypeScript

MCP Serversaiai-agentsInstall

koala73

worldmonitor

today

Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface

83.8k12.5kTypeScript

MCP ServersagentaiInstall

netdata

today

The fastest path to AI-powered full stack observability, even for lean teams.

80.3k6.6kGo

MCP ServersaialertingInstall

D4Vinci

Scrapling

today

🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

75.9k7.6kPython

MCP Serversaiai-scrapingInstall