Introduction
Build AI agent teams that work handle your tasks and beyond.
What is Upsonic?
Task oriented AI agent framework for digital workers and vertical AI agents.
Upsonic offers a cutting-edge enterprise-ready framework where you can orchestrate LLM calls, agents, and computer use to complete tasks cost-effectively.
It provides more reliable agents, scalability, and a task-oriented structure that you need while completing real-world cases.
How Upsonic Works
| Component | Description | Key Features |
|---|---|---|
| Tasks | The job we want to complete | - Have clear objectives - Use specific tools - Feed into larger process - Produce actionable results |
| Agents | A real person like LLM’s | - Actions over tools - Self-reflection - Memory - Context Compression |
| Secure Runtime | Isolated Envinronment to Run Agents | - On-prem - Cloud - Custominization |
| Model Context Protocol | A tool standard for LLM’s. Supported by Companies and Communities. | - Wide range tool support |
Key Features
Tasks
Easily complete the tasks you will accomplish and run them in various ways to get results. Focus on the tasks, not the process.
Automatic Characterization
Share your company’s URL and objective, then input a job title for the agent. The Upsonic framework will generate a persona and assign tasks accordingly.
MCP Support
Directly integrate with a comprehensive tool pool developed by the community and companies. Achieve stability with official tools.
Scalable
The most critical components are internally positioned on the server-side, allowing you to deploy the server via Docker and perform a lightweight integration with your application on the client-side in a stateless manner.
Direct LLM Call
If the task you want to have done is simple and doesn’t require sub-tasks, you don’t need to spend time with agents. You can directly make an LLM call and get the results instantly
Object as Response
When working with LLMs, to get more refined results from them, the responses should be programmatic. In this regard, you can define how you want the response by specifying it as class and receiving it as an object.