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**Automata's objective is to evolve into a fully autonomous, self-programming Artificial Intelligence system**.
Automata is inspired by the theory that code is essentially a form of memory, and when furnished with the right tools, AI can evolve real-time capabilities which can potentially lead to the creation of AGI. The word automata comes from the Greek word αὐτόματος, denoting "self-acting, self-willed, self-moving,", and Automata theory is the study of abstract machines and automata, as well as the computational problems that can be solved using them.
More information follows below.
Codespace
Rough Schematic
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Demo
https://github.com/emrgnt-cmplxty/Automata/assets/68796651/2e1ceb8c-ac93-432b-af42-c383ea7607d7
Installation and Usage
🧠 Stuck? Try the Docs
Initial Setup
Follow these steps to setup the Automata environment
Installation via Docker
You can also install Automata through Docker.
Pull the Docker image:
Run the Docker image:
This will start a Docker container with Automata installed and open an interactive shell for you to use.
Windows Tips
Windows users may need to install C++ support through Visual Studio's "Desktop development with C++" for certain dependencies.
Additionally, updating to gcc-11 and g++-11 may be required. This can be done by running the following commands:
Indexing
SCIP indices are required to run the Automata Search. These indices are used to create the code graph which relates symbols by dependencies across the codebase. New indices are generated and uploaded periodically for the Automata codebase, but programmers must be generate them manually if necessary for their local development. If you encounter issues, we recommend referring to the instructions here.
Build the embeddings + docs
Run the system
The following commands illustrate how to run the system with a trivial instruction. It is recommended that your initial run is something of this sort to ensure the system is working as expected.
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Understanding Automata
Automata works by combining Large Language Models, such as GPT-4, with a vector database to form an integrated system capable of documenting, searching, and writing code. The procedure initiates with the generation of comprehensive documentation and code instances. This, coupled with search capabilities, forms the foundation for Automata's self-coding potential.
Automata employs downstream tooling to execute advanced coding tasks, continually building its expertise and autonomy. This self-coding approach mirrors an autonomous craftsman's work, where tools and techniques are consistently refined based on feedback and accumulated experience.
Example - Building your own agent
Sometimes the best way to understand a complicated system is to start by understanding a basic example. The following example illustrates how to run your own Automata agent. The agent will be initialized with a trivial instruction, and will then attempt to write code to fulfill the instruction. The agent will then return the result of its attempt.