Description
Agent Pilot is a robust workflow automation system designed to streamline the creation, organization, and execution of AI-driven tasks. Whether you're interacting with a single Large Language Model (LLM) or orchestrating complex multi-member workflows, Agent Pilot provides a seamless and intuitive experience. The platform allows users to design AI workflows and engage with them in real-time, featuring support for branching chats that enable flexible interactions and iterative refinement of AI outputs.
At its core, Agent Pilot offers a generative and customizable user interface, empowering users to design interfaces tailored to their specific needs. This flexibility extends to the creation of custom pages and hierarchical configurations, ensuring seamless integration into existing workflows. The system also boasts advanced scheduling capabilities, allowing for automated workflow execution based on natural language time expressions, from frequent intervals to long-term recurring tasks.
Key features include the ability to create and manage agents, organize them into folders, and save multi-member workflows as single agents that can be nested infinitely. Chat management allows for viewing, continuing, and deleting previous workflow conversations. The platform supports branching workflows where messages, tools, and code can be edited and re-run for practical chat interactions. Graph workflows enable the seamless addition and configuration of various members, including User, Agent, Text, Code, Prompt, Module, and other Workflows, with options for parallel execution.
Agent Pilot also facilitates the management of reusable blocks and tools, which can be assigned to agents. Tools can even be entire workflows, granting agents the capability to execute complex sequences of actions. Modules, implemented as Python files, offer persistence for toolkits, daemons, memory, and custom pages. The platform integrates Open Interpreter for code execution in multiple languages and supports a wide array of LLM providers through LiteLLM, including OpenAI, Anthropic, and Google Gemini.
This platform is ideal for developers, AI enthusiasts, and businesses looking to automate complex tasks, build sophisticated AI agents, and manage intricate AI-driven processes efficiently. Its extensibility through custom addons and plugins further enhances its utility, making it a powerful tool for advanced AI workflow management.
AgentPilot's Core Features
Create and organize AI agents with nested configurations.
Manage and continue previous workflow chats.
Support for branching workflows with editable messages, tools, and code.
Graph workflows to define interactions between different AI members.
Reusable blocks and tools for consistent workflow components.
Integration with Open Interpreter for code execution in multiple languages.
Support for over 100 LLM models via LiteLLM integration.
Customizable UI for tailored interface design.
Scheduled and recurring workflow execution.
Generative UI capabilities for custom pages.
Structured output generation with Instructor.
Extensible with custom addons and plugins.
Getting Started with AgentPilot
Clone Repository: Obtain the Agent Pilot codebase from GitHub.
Install Dependencies: Set up the necessary Python packages.
Configure Agents: Define and customize your AI agents and their parameters.
Design Workflows: Assemble agents, blocks, and tools into complex workflows.
Execute Workflows: Run your AI workflows and interact with them in real-time.
Manage Chats: Review, continue, or delete past workflow conversations.
Schedule Tasks: Set up recurring or time-based execution for workflows.
AgentPilot's Use Cases
- AI Workflow Automation
- Custom AI Agent Development
- Real-time AI Chat Interfaces
- Scheduled AI Task Execution
- Code Execution in AI
- Data Processing and Analysis
- Content Generation Workflows
