What is io.github.ANAMIZED/lrsi?

Local recursive self-improvement OS MCP with fail-closed governance and gated mutation tools.

How do I install io.github.ANAMIZED/lrsi?

Clone io.github.ANAMIZED/lrsi from https://github.com/ANAMIZED/LRSI and configure it as an MCP server in your client (Claude Desktop, Cursor, or VS Code).

Is io.github.ANAMIZED/lrsi open source?

Yes, io.github.ANAMIZED/lrsi is open source under the NOASSERTION license. Source code is available at https://github.com/ANAMIZED/LRSI.

What category does io.github.ANAMIZED/lrsi belong to?

io.github.ANAMIZED/lrsi is listed under Developer Tools MCP servers on MCPFind.

io.github.ANAMIZED/lrsi — MCP Server for Developer Tools

LRSI

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). Every mutation is forced through a fail-closed boundary and append-only event trail.

Support Agentic OS Kernels ($99) · Agentic OS Cycle ($0.75) · Public Goods Support

Non-custodial USDC (preferred for agents)

Network	Address
Base / Ethereum	`0xD3d0E9eDAe3Ac7bb199a8EAA761BdA423b878438`
Solana	`ETQwWf19axArsY493UfC6bxe2BmEzmzvCb58PPnC38A`

Related: rui · server-os · openmesha · 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

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

Design principles

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

License

Apache-2.0

io.github.ANAMIZED/lrsi