Is the nexent MCP server actively maintained?

The nexent MCP server was last committed today and has 239 contributors. Issue health: 81% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

nexent MCP Server

Name: ModelEngine-Group/nexent
Rating: 4.4 (1 reviews)
Author: ModelEngine-Group

ModelEngine-Group/nexent

Score: 84.5 Rank #1004 Agent Framework

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Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

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Overview

ModelEngine-Group/nexent is a Python tool licensed under MIT. Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes. Topics: agent, agentic-ai, agentic-framework, agentic-rag, agentic-workflow, ai, llm, rag, harness, harness-engineering, mcp, multi-agent.

Ranked #1004 out of 24840 indexed tools.

In the top 5% of all indexed tools.

Has 5,889 GitHub stars.

Has 239 contributors.

Actively maintained with commits in the last week.

Ecosystem

Python MIT 26 pypi/wk

agentagentic-aiagentic-frameworkagentic-ragagentic-workflowaillmragharnessharness-engineeringmcpmulti-agent

Score Breakdown

Stars 15% 5,889

5,889 stars → well-known project

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 81%

1188/1465 issues closed → responsive maintainer

Contributors 10% 239

239 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads 13% 26/wk

26 weekly installs → early adoption

Forks 733

Description Detailed

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 5,889
Forks: 733
Open Issues: 277
Closed Issues: 1,188
Contributors: 239
Dependents: —
Language: Python
License: MIT
Last Commit: today

Matched Queries

topic:mcp

From the README

Nexent is a zero-code platform for auto-generating production-grade AI agents, built on **Harness Engineering** principles. It provides unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes — no orchestration, no complex drag-and-drop required, using pure language to develop any agent you want.

> One prompt. Endless reach.

<video controls width="100%" style="max-width: 800px;">
  <source src="https://github.com/user-attachments/assets/db6b7f5a-9ee8-4327-ae6f-c5af896126b4" type="video/mp4" />
  <p><a href="https://github.com/user-attachments/assets/db6b7f5a-9ee8-4327-ae6f-c5af896126b4">Watch the demo video</a></p>
</video>

# 🚀 Get Started Now

> ⭐ Before you get started, please star us on [GitHub](https://github.com/ModelEngine-Group/nexent) — your support drives us forward!

## Deploy on Your Own

If you need to run Nexent locally or in your private infrastructure, we offer two deployment options:

### System Requirements

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Read full README on GitHub →