Today, we’re launching Qoder Cloud Agents (QCA) 1.0.
QCA is an Agent-as-a-Service platform that hosts agent runtime, delivery, and operations in the cloud. It helps developers move from an initial idea to a production-ready agent service without rebuilding the underlying infrastructure along the way.
Build and ship from one cloud harness
QCA offers multiple ways to get started:
- Skills, Plugins, and CLI for direct use with AI coding tools
- APIs and multi-language SDKs for embedding agents into existing services
- QCA Assistant for agent creation, configuration, debugging, and troubleshooting
Developers can complete their first end-to-end integration in as little as 10 minutes, then take the same setup into production.
Connect agents to real business workflows
QCA supports the infrastructure needed to deliver agents to real users:
- Connect tools and data through Skills and MCP
- Trigger business workflows through Webhooks
- Manage identities, capabilities, credentials, permissions, and usage centrally
- Coordinate multiple specialized agents for complex tasks
- Support realtime voice and IM-based interactions
Improve agents with real feedback
QCA brings memory, observability, evaluation, and outcome validation into one continuous loop:
- Memory and Dreaming preserve experience across sessions and turn it into reusable organizational knowledge.
- Observability and evaluation help track tasks, tool calls, model usage, and regressions.
- Outcome evaluates deliverables against user-defined standards and drives continued improvement.
Scale without carrying the operational burden
QCA is built for production workloads with:
- Batch processing and asynchronous execution
- Elastic scheduling for up to 100K concurrent requests
- Multi-region resource pools
- Long-running tasks with state persistence, reconnection, and recovery
We’re excited to see what you build with Qoder Cloud Agents 1.0.