sre — MCP Server by SmythOS

by SmythOS · MCP Server · ★ 1.2k

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About sre

SmythOS - The Linux of AI Agents Reliable Agent Engineering starts with great, open source infrastructure. This repository contains the Smyth Runtime Environment Kernel (SRE), the Software Development Kit (SDK) and Command Line Interface (CLI) for running agents and creating them with code. If you prefer visual drag & drop agent interfaces instead, check out our open source SmythOS Visual Agent Studio! Great community, support, tutorials. Start in minutes!...

agent-frameworkagentsagiaiai-agentsartificial-intelligenceautogptautonomous-agentschatgptlangchain

Quick Facts

Stars1,249
Forks190
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score35.8/100
Open Issues33
Last Updated2026-04-02
Created2025-06-07
Platformsmcp, node
Est. Tokens~2088k

sre alternative? Top 6 similar tools

Looking for a sre alternative? If you're comparing sre with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is sre?

sre is The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular, and production-ready, it lets developers build, run, and manage intelligent agents across. It is categorized as a MCP Server with 1.2k GitHub stars.

What programming language is sre written in?

sre is primarily written in TypeScript. It covers topics such as agent-framework, agents, agi.

How do I install or use sre?

You can find installation instructions and usage details in the sre GitHub repository at github.com/SmythOS/sre. The project has 1.2k stars and 190 forks, indicating an active community.

What license does sre use?

sre is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to sre?

The top alternatives to sre on Agent Skills Hub include openagent, casibase, DemoGPT. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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