插件介绍
Distributed agent coordination platform where agents live, connect, coordinate, execute, and evolve together.
项目详情摘要
Avernet is an open-source infrastructure layer for building and operating persistent, coordinated, multi-agent systems at organizational scale. Where agents live, connect, coordinate, execute, and evolve together. Quick Start | Capabilities & Status | Demo | Why Avernet | Architecture | Integration | Docs Overview Avernet provides the infrastructure needed to run **persistent, coordinated, and heterogeneous agent systems** across applications, runtimes, and human-agent workflows. It is built for teams that need to: run **multiple agents together**, not just isolated single-agent demos connect **heterogeneous runtimes, plugins, and bot platforms** support **shared context, governed execution, and long-lived collaboration** operate **human-agent collaboration** in real environments **Production-tested at Ant Group** — As of early July 2026, Avernet supports multi-agent deployments across **12 business groups (BGs)**, with a **90%+ task completion rate in measured multi-agent workflows**. Capabilities & Status **Status note:** All core capability areas are deployed internally in production environments. Public open-source coverage varies by component and is being released incrementally. **Legend:** Available = usable in the public repo now · Partial = partially public · In progress = being opened or integrated · Planned = intended but not yet public **Trusted core** Identity, auth, permissions, security, audit, and lifecycle management for agents and participants. **Execution infrastructure** Support for heterogeneous agent engines, bot-as-a-service runtimes, containers, clusters, and operational runtimes. **Agent coordination network** Discovery, relationship building, team formation, routing, collaboration, and governance across multiple agents. **Shared intelligence and
摘自项目公开 README,可能随上游仓库更新。安装方法
建议先在测试 Profile 中安装,并检查权限、安装脚本和依赖。
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:inclusionAI/Avernet
使用前检查
- 确认项目符合 DSH bundle 规范,而不只是相关仓库。
- 阅读许可证和安装脚本,检查网络、文件及执行权限。
- 备份配置,并确保插件能够安全卸载或回滚。


