Introduction
Build AI agent teams that handle your tasks and beyond.
Last updated
Build AI agent teams that handle your tasks and beyond.
Last updated
A task-oriented AI agent framework for digital workers and vertical AI agents.
The Beacon Labs 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.
Tasks
The job we want to complete
Have clear objectives
Use specific tools
Feed into larger processes
Produce actionable results
Agents
LLMs that use tools to complete tasks
Actions over tools
Self-reflection
Memory
Context Compression
Secure Runtime
Isolated environment to run agents
On-prem
Cloud
Customization
Model Context Protocols
A tool standard for LLMs, supported by companies and communities
Wide range of tool support
Easily complete the tasks you need and run them in various ways to get results. Focus on the tasks, not the process.
Share your company’s URL and objective, then input a job title for the agent. The Beacon Labs framework will generate a persona and assign tasks accordingly.
Directly integrate with a comprehensive tool pool developed by the community and companies. Achieve stability with official tools.
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.
If the task you need to complete 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.
When working with LLMs, getting more refined results requires programmatic responses. In this regard, you can define how you want the response by specifying it as a class and receiving it as an object.
