Local recursive self-improvement OS MCP with fail-closed governance and gated mutation tools.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Choose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Documentation Overview
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
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
Related MCP Servers
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Frequently Asked Questions about Lrsi
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CategoryDeveloper Tools
27Quality signal: Emerging · 27/100How this signal is calculated ▾
Server availabilityNot measured
Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.
Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10
A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.
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