Cloud-native platform for managed agents in team workspaces
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.
The diagram reflects the current application architecture. CubePlex's agent runtime is built on CubePi, an async-native agent framework for multi-provider model access, tool execution, streaming, middleware, and durable checkpoints. Workspace sandboxes are isolated execution environments with persistent working state; external model providers, MCP servers, and IM platforms remain outside CubePlex's trust boundary.
| Area | What you get |
|---|---|
| Multi-model chat | Hosted and custom providers (Anthropic, OpenAI, and more). Attach files, stream replies, switch models mid-conversation. |
| Skills | Packaged agent capabilities — built-in, org-uploaded, or from remote registries (e.g. skills.sh). |
| Memory | Personal, workspace, and org-scoped memory the agent recalls across conversations. |
| MCP tools | Catalog of connectors with static credentials or OAuth; grant tools per workspace. |
| Workspace sandboxes | Per-workspace isolated runtimes with persistent storage — files, packages, and the working tree survive restarts so agents resume the same work site. |
| Artifacts | Versioned deliverables — files, previews, code, images — rendered in the thread. |
| Automation | Scheduled tasks (cron / interval / one-shot) and webhook event triggers. |
| IM bridges | Talk to agents from Slack, Discord, Teams, Feishu, DingTalk, and more. |
| Team governance | Organizations, workspaces, roles, model access policies, and cost tracking. |
| Deploy anywhere | Docker Compose for a single host; Helm for Kubernetes. |
- Docker Compose (single host): installation guide
- Kubernetes with Helm: installation guide
Both modes use the same backend and frontend images. Guides cover image builds, configuration, secrets, and verification.
Prerequisites: Python 3.12+, Node.js 20+, pnpm 10+, and Docker (recommended for local services).
git clone https://github.com/cubeplexai/cubeplex.git
cd cubeplex
make install
# Terminal 1 — API
cd backend && python main.py
# Terminal 2 — web UI
cd frontend && pnpm devBackend: http://localhost:8000 · Frontend: http://localhost:3000.
Local setup also needs backend env/config files described in the contribution guide.
backend/ FastAPI API and Cubepi-based agent runtime
frontend/ Next.js web app and shared TypeScript packages
deploy/ Docker Compose and Kubernetes/Helm assets
docs/ Product docs site and engineering reference
scripts/ Worktree provisioning and dev helpers