by ModelEngine-Group · MCP Server · ★ 5.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Nexent is a zero-code platform for auto-generating agents — no orchestration, no complex drag-and-drop required, using pure language to develop any agent you want. Built on the MCP ecosystem with rich tool integration, Nexent also provides various built-in agents to meet your intelligent service needs in different scenarios such as work, travel, and daily life. Nexent offers powerful capabilities for agent running control, multi-agent collaboration, data processing and knowledge tracing, multimodal dialogue, and batch scaling. One prompt. Endless reach. 🌐 Visit our official website https://github.com/user-attachments/assets/
| Stars | 5,155 |
| Forks | 648 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 44.82/100 |
| Open Issues | 270 |
| Last Updated | 2026-06-18 |
| Created | 2025-04-28 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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nexent is 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, feedbac. It is categorized as a MCP Server with 5.2k GitHub stars.
nexent is primarily written in Python. It covers topics such as agent, agentic-ai, agentic-framework.
You can find installation instructions and usage details in the nexent GitHub repository at github.com/ModelEngine-Group/nexent. The project has 5.2k stars and 648 forks, indicating an active community.
nexent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to nexent on Agent Skills Hub include solace-agent-mesh, cursor-talk-to-figma-mcp, ag2. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.