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Neo.mjs is a self-evolving software organism that autonomously operates within applications through a multi-model cluster.

🌍 OverseasFreeOpen sourceDev开源多智能体系统自进化软件
Platforms: Web
Region
Overseas
Pricing
Free
Open source
Yes
GitHub Stars
★ 3.2k
Source
GitHub
Added
2026-06-06
Last verified
2026-06-06

Overview

Neo.mjs is a self-evolving software organism that autonomously operates within applications through a multi-model cluster. It addresses the limitations of single AI agents by enabling cross-model collaboration via technologies such as Neural Link, Active Hybrid GraphRAG, DreamService, and self-repair loops. Suitable for application scenarios requiring complex AI engineering support.

Key features

  • Multi-model cluster collaboration
  • Application control via Neural Link
  • Active Hybrid GraphRAG shared memory
  • DreamService prioritization adjustment
  • Self-repair loop optimization

Use cases

Complex AI engineering supportReal-time UI and data changesAutomatic repair in production environments

Pros

  • Complementary strengths across models
  • Real-time application control
  • Continuous self-optimization

Limitations / notes

  • Dependent on specific technology stack
  • Requires advanced configuration

Who it's for

AI engineersSoftware developersProject managers

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

How does Neo.mjs achieve multi-model collaboration?

Through technologies such as Neural Link and Active Hybrid GraphRAG.

What application scenarios is Neo.mjs suitable for?

Scenarios requiring real-time application control and optimization with complex AI engineering support.

Similar agents

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