mcpField
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lrsi

lrsi

Local
github.comAI & Agents1Updated 9w ago

About lrsi

LRSI is a local autonomous agentic operating system for teams building and governing agent workflows. It routes every mutation through a fail-closed boundary and records an append-only audit trail.

Key features

  1. 01Fail-closed mutation boundary
  2. 02Append-only event audit trail
  3. 03Evidence-gated promotion
  4. 04CLI, SDK, REST API and MCP
  5. 05Multi-agent workflow surfaces

Use cases

  1. 01Gate agent-initiated system changes
  2. 02Audit workflow mutations
  3. 03Promote changes after evidence review

MCP support

The `lrsi-mcp` server exposes LRSI through MCP. Mutations are governed by the fail-closed boundary and recorded in the event trail.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

LRSI

CI License Python 3.11+ MCP SDK CLI 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). 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)
NetworkAddress
Base / Ethereum0xD3d0E9eDAe3Ac7bb199a8EAA761BdA423b878438
SolanaETQwWf19axArsY493UfC6bxe2BmEzmzvCb58PPnC38A

Related: rui · server-os · openmesha · OpenGOS

Surfaces

SurfaceEntry
CLIlrsi status / lrsi workflow / lrsi mutate / lrsi audit
SDKfrom lrsi.sdk import LRSIClient
REST APIlrsi-api → http://localhost:8080/docs
MCP Serverlrsi-mcp
Multi-agentimprover → evaluator → council + skills/multi-agent-workflow/
CI.github/workflows/ci.yml
Verifybash scripts/verify.sh

Quick Start

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

Comments

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