Agent Runtime

DownCity

One reusable runtime for many AI products.

Agent-native creators do not want to rebuild auth, model routing, metering, logs, channels, billing hooks, and deployment for every product. DownCity turns agents into observable, reusable, product-ready execution units.

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Role

Run agents and AI products on a shared backend instead of rebuilding the same infrastructure repeatedly.

Indie builders, AI product teams, agent builders, and teams shipping multiple AI applications.

Capabilities

Agent lifecycle and task execution
Model routing, tools, memory, services, and channels
Auth, workspace structure, usage metering, quota, billing hooks, and logs
Self-hosted and cloud deployment paths

Agents need operations, not only demos.

A one-off chat can impress. A product needs permissions, usage, logs, channels, budgets, recovery, and deployment. DownCity is where agent behavior becomes operational infrastructure.

A repo can be a boundary. A runtime is a city.

DownCity treats agents, tools, models, services, and product surfaces as parts of the same operating system. Builders can ship more products without rebuilding the city each time.

Agent Runtime

DownCity

为多个 AI 产品复用同一套 agent runtime。

AI 原生 builder 不应该为每个产品重复搭建 auth、模型路由、计量、日志、渠道、billing hooks 与部署。DownCity 把 agent 变成可观察、可复用、可产品化的执行单元。

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角色

用共享后端运行 agent 与 AI 产品，而不是反复重建基础设施。

适合 indie builder、AI 产品团队、agent builder，以及同时构建多个 AI 应用的团队。

能力

Agent 生命周期与任务执行
模型路由、工具、记忆、服务与渠道
Auth、workspace、usage metering、quota、billing hooks 与日志
Self-hosted 与 cloud deployment 路径

Agent 需要运维，不只是 demo。

一次聊天可以让人惊艳，但一个产品需要权限、用量、日志、渠道、预算、恢复和部署。DownCity 让 agent 行为进入真正的产品运行层。

Repo 可以是边界，runtime 才是城市。

DownCity 把 agent、工具、模型、服务和产品界面看作同一套操作系统的部分。Builder 可以发布更多产品，而不是每次重新建城。