Welcome to Composabl
Last updated
Last updated
Composabl is the platform for creating industrial-strength intelligent agents that make high-impact decisions in the real world.
With Composabl, you can convert expert knowledge about how a process works into a set of skills — discrete units of competence that allow the agent to make the right decision to control the system in a specific situation. These skills can be either programmed or learned through advanced AI techniques and orchestrated so that the agent knows how to perform in every part of the process and under any conditions. The platform then uses trial and error to train the agent in realistic scenarios until the agent can succeed at the task and outperform the alternatives.
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You can use any model or Python algorithm with Composabl for training agents, adding perception, analysis, and communication, and making decisions. See how to configure different types of modules and then publish them to the Composabl no-code UI for agent design, training, and deployment.
Integrate a machine learning model
Use existing ML models for machine vision, prediction, or analysis in Composabl agents
Integrate a language model
Set up an LLM call to add communication to your agent
Integrate a programmed algorithm
Configure any Python algorithm, such as a PID controller or optimization algorithm, as a skill in Composabl
Integrate third-party software
Use an API call to external software as a skill in Composabl
Integrate a simulator
Configure your simulator to work with Composabl
Publish to the platform
Upload configured models and algorithms to the Composabl UI with one CLI command
Composabl agents are built on modular skills that break down a task into separate parts. Learn how to create skills to train with deep reinforcement learning.
Create skills with goals using the SDK
Use the SDK to create skills that learn with rewards
Create skills with rewards using the SDK
Create skills that learn with rewards and access additional teaching tools
Publish to the platform
Upload configured skills to the Composabl UI for training and deployment with one CLI command
Once Composabl agents are designed and trained, you can export them to the Composabl runtime to connect with your system. Learn how to deploy an agent within the runtime container, and how to use Composabl's tools to analyze agent behavior during both training and deployment.
Deploy a Composabl agent
Export a agent and connect to the Composabl runtime container
Connect Composabl to system
Connect the Composabl runtime container to your system for deployment
Plot Agent Behavior
Create plots to visualize agent operations
Audit agent behavior with the historian
Use the Composabl historian to analyze agent behavior in detail
