4de0fd8cbd
### Background
Introduced initial database schema for AutoGPT server.
It currently consists of 7 tables:
* `AgentGraph`: This model describes the Agent Graph/Flow (Multi Agent System).
* `AgentNode`: This model describes a single node in the Agent Graph/Flow (Multi Agent System).
* `AgentNodeLink`: This model describes the link between two AgentNodes.
* `AgentNodeExecution`: This model describes the execution of an AgentNode.
* `AgentBlock`: This model describes a component that will be executed by the AgentNode (all the details required, like name, code, input/output).
* `AgentBlockInputOutput`: This model describes the output (produced event) or input (consumed event) of an AgentBlock.
* `FileDefinition`: This model describe a file that can be used as input/output of an AgentNodeExecution.
### Changes 🏗️
* Add Prisma
* Add sqlite3
* Initialize database.
Next Gen AutoGPT
This is a research project into creating the next generation of autogpt, which is an autogpt agent server.
The agent server will enable the creation of composite multi-agent system that utilize AutoGPT Agent as its default agent.
Project Outline
Currently the project mainly consist of these components:
agent_api A component that will expose API endpoints for the creation & execution of agents. This component will make connections to the database to persist and read the agents. It will also trigger the agent execution by pushing its execution request to the ExecutionQueue.
agent_executor A component that will execute the agents. This component will be a pool of processes/threads that will consume the ExecutionQueue and execute the agent accordingly. The result and progress of its execution will be persisted in the database.