Python managed-agent Projects

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1. cubeplex

   1 3 536 10.0 Python

   CubePlex is a cloud-native platform for managed agents in team workspaces — skills, shared memory, MCP tools, persistent sandboxes, governed access, and self-hosted deploy on Docker Compose or Kubernetes.

   

   Project mention: dify VS cubeplex - a user suggested alternative | libhunt.com/r/dify | 2026-10-09

   Dify starts with a defined scenario. A team identifies a problem such as customer support, knowledge Q&A, contract review, or report generation, then configures the model, Workflow, Knowledge, and tools for that problem. The result is published as a web app, API, embed, or MCP service. Users choose an App and work within the capabilities it was built to provide. Dify's source code and usage guides are available on GitHub and in its documentation. CubePlex starts with a long-lived Agent. A person or team keeps using the same Agent in a Workspace and gives it different kinds of work over time. The Agent retains its role, memory, Skills, and MCP connections, and can operate a durable computer environment when a task requires one. Instead of switching among Apps for different scenarios, users return to an Agent that becomes familiar with how the team works. CubePlex also provides its source code and product documentation.

2. AppSignal

   www.appsignal.com sponsored

   Monitoring that respects your time & budget. APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product.

   

3. line-research-bot

   2 1 2 - Python

   研究規劃師 LINE Bot · A demo of Google's Pre-GA Managed Agents API (Antigravity). Three-stage agent (plan → search-compare → write) with persistent sandbox and filesystem reused across LINE messages. Includes 5 Pre-GA gotchas and full GCP deployment. 不到 30 行 SDK call 就能跑。

   

   Project mention: [Gemini][Agent] Google Managed Agents API | dev.to | 2026-06-02

   Use an open-source LINE Research Planner Bot (kkdai/line-research-bot) as a live demonstration to see how new features are combined in actual production code — and share the five typical Pre-GA pitfalls I encountered during debugging to help you avoid them.

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Monitoring that respects your time & budget

APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product.

www.appsignal.com

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