Suture

Suture

Suture is an enterprise-grade automated loop and skills framework for Multi-Agent Systems (MAS) developed by Interlabs.

It is designed as an orchestration wrapper and Model Context Protocol (MCP) server that elevates existing AI Coding Agents (such as Claude Code and Aider) into highly reliable, autonomous Multi-Agent Systems. By injecting powerful, built-in skills directly into an agent's context, Suture transforms a single conversational AI into a production-ready software factory.

Key Features

• Standardized MCP Interface: Seamless integration into any MCP-aware agents and environments.
• Built-in Suture Skills: Exposes powerful tools like lint (for production quality checks with Black and Flake8), safety_check (to ensure no secrets are leaked), and verify_plan (to enforce rigorous planning constraints).
• Enterprise Grade Focus: Built for reliability, self-healing code development, and enforcing strict workflow constraints.
• Memory Framework: Out-of-the-box support for store_memory and retrieve_memory to prevent AI agent hallucinations across long coding sessions or automated loops.
• Loop Orchestration: Built-in functions like start_loop, record_loop_iteration, and finish_loop to enable reliable and transparent autonomous agent workflows.

File Overview

• suture/server.py: The main entry point for the Suture MCP server. It initializes the server and provides tools for persistent memory storage (store_memory, retrieve_memory).
• suture/loops.py: Contains tools for orchestrating automated agent loops and tracking workflow phases (e.g., start_loop, record_loop_iteration, finish_loop).
• suture/quality.py: Provides code quality tools like linting (black, flake8), safety checks (secret scanning), and plan verification (verify_plan).
• Sutureprogram.template.md: A template file to be copied as Sutureprogram.md, acting as a prompt and constraint guide that instructs agents on how to execute their workflows.
• pyproject.toml: The project configuration file defining dependencies, build systems, and the CLI entry point (suture-mcp).

Installation

# Clone the repository
git clone https://github.com/Interlabs/suture.git
cd suture

# Install the Suture package and its dependencies
pip install -e .

Running the Server

Suture is distributed as a standard Python package with a CLI entry point:

suture-mcp

You can point your MCP-aware coding agents directly to this command to enable the Suture framework context.

How to use Suture: The Sutureprogram.md

Tasks and workflows in Suture are directed by a user-created context markdown file, typically called Sutureprogram.md.

This file acts as the ultimate prompt and constraint guide for agents, instructing them to use the connected Suture MCP server tools to fulfill their requirements. By enforcing explicit phases like "Plan", "Work", "Test", and "Git Commit", agents become remarkably reliable.

A template for this file is included in the repository: Sutureprogram.template.md. You can copy it to your own project and modify it to suit your goals.

Example Agent Prompt:

1. Start your preferred coding agent (e.g., Claude Code, Aider) with the Suture MCP server attached.
2. Prompt the agent: "Read Sutureprogram.md and begin."
3. The agent will read the instructions, initiate an automated loop, verify its plan, write code, run the linter and safety checks, and finally commit the changes—all autonomously.

---