AgentPilot

AgentPilot

Open-source desktop app for AI agent management and interaction
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AgentPilot is an open-source desktop app for creating, managing, and chatting with AI agents. It features multi-agent workflows, branching chats, and integration with various LLM providers, offering a versatile platform for AI interaction and development.

Details

AgentPilot: Your Open-Source AI Agent Management Platform

AgentPilot is a powerful open-source desktop application specially crafted for creating, managing, and engaging with AI agents. It presents a wide array of features tailored for both casual users and AI developers, serving as a versatile platform for AI-driven tasks and conversations.

Key Features

  • Create and Customize Agents:
    • Design and configure AI agents based on your specific requirements.
    • Organize agents into folders for convenient management.
    • Combine multiple agents to create composite agents for intricate workflows.
  • Advanced Chat Management:
    • View, continue, and delete previous workflow chats.
    • Organize conversations into folders for improved organization.
    • Export and import chats for sharing or backup purposes.
  • Multi-Agent Workflows:
    • Integrate multiple agents (or users) seamlessly in a single conversation.
    • Configure agent interactions to facilitate collaborative problem-solving.
    • Utilize the CrewAI plugin for enhanced multi-agent capabilities.
  • Branching Workflows:
    • Edit and resubmit messages for refined interactions.
    • Modify and re-run code for iterative development.
    • Compatible with all plugins and multi-agent chats.
  • Context Blocks:
    • Manage reusable context blocks to ensure consistent agent behavior.
    • Utilize various block types, including text blocks, code blocks, and prompt blocks for LLM responses.
  • Customizable Tools:
    • Create, edit, and manage tools with customizable parameters.
    • Choose programming languages and environments for each tool.
    • Integrate tools with agents or use them as standalone workflow components.
  • Extensible Plugin System:
    • Support for agent and workflow plugins.
    • Access built-in plugins like Open Interpreter, OpenAI Assistant, and CrewAI Agent.
    • Develop custom plugins to expand functionality.
  • Integrated Code Interpreter:
    • Powered by Open Interpreter for versatile code execution.
    • Enable auto-run for seamless code integration (use with caution).
    • Execute complex tasks such as image processing with natural language commands.
  • Voice Integration:
    • Link agents to text-to-speech services for a more immersive experience.
    • Support for various TTS services, including Amazon Polly and Elevenlabs.
  • LLM Provider Support: AgentPilot utilizes LiteLLM for compatibility with various LLM providers, including Anthropic, Mistral, OpenAI, Azure OpenAI, Google's VertexAI and PaLM API, AWS Sagemaker and Bedrock, and more.

Getting Started

Installation Options:

  • Download pre-built binaries for Linux or Windows.
  • Install via pip: pip install agentpilot.
  • Build from source (instructions available in documentation).

Documentation:

  • Comprehensive documentation is available, including Python API docs, guides on creating plugins, and instructions for building from source.

Conclusion

AgentPilot offers a robust and flexible platform for AI agent management and interaction. Whether you are a developer working on intricate AI workflows or an enthusiast exploring AI possibilities, AgentPilot equips you with the tools and features to bring your ideas to fruition. With its open-source nature and continuous development, AgentPilot remains at the forefront of evolving AI technology.

Tags

plugin-extensibility
open-source
customizable-tools
workflow-automation
multi-agent-workflows
llm-compatibility
voice-integration
desktop-application
code-interpreter