agentpilot

AgentPilot is an open-source, low-code platform for creating, managing, and interacting with AI agents and workflows. It enables users to build custom AI agents using their own keys, models, and local data, supporting both single and multi-agent workflows. AgentPilot is designed for productivity, automation, and collaborative problem-solving.

AgentPilot's main features include the ability to create and customize agents for specific tasks, support for multi-agent workflows that integrate multiple agents or users in a single conversation, and branching conversations for refined interactions. It allows users to manage reusable context blocks, create and manage customizable tools, and benefits from an extensible plugin system supporting various agent and workflow plugins. Furthermore, it features an integrated code interpreter powered by Open Interpreter, voice integration for immersive experiences, and chat management to view and organize previous workflow chats.

AgentPilot provides a desktop application and SDK for building and managing AI agents, allowing users to create agents and workflows using a low-code interface, integrate various AI models and plugins, execute complex tasks including code interpretation and automation, and collaborate with multiple agents or users in a single workflow.

Yes, AgentPilot is free and open source under the AGPL-3.0 license. You can download and use it from the official GitHub repository.

AgentPilot's use cases include task automation for repetitive, time-consuming tasks to increase efficiency; research automation to gather, analyze, and synthesize information from multiple sources; building and managing multi-agent systems where multiple AI agents collaborate across different tasks; and serving as an AI agent builder to design, customize, and deploy AI agents for specific tasks without deep technical knowledge.

To get started with AgentPilot, first download the desktop app from the official website or GitHub repository, then set up your AI models and keys. Afterward, create and configure your agents and workflows, and finally, begin building and managing your AI-driven workflows.

AgentPilot supports a wide range of plugins and integrations, including Open Interpreter, OpenAI Assistant, CrewAI Agent, and various text-to-speech services such as Amazon Polly and Elevenlabs.

Yes, AgentPilot is open source and can be used for both personal and commercial projects, provided you comply with the AGPL-3.0 license terms.

More information and support can be found on the Official Website at agentpilot.ai, the GitHub Repository at jbexta/AgentPilot, and the Documentation and SDK Reference for BytePlus AgentPilot SDK.

Best practices for using AgentPilot include avoiding the disclosure of personal data, verifying AI responses for accuracy, reviewing and mitigating biased responses, and managing and organizing your agents and workflows for optimal performance.