Agent Pilot

Aug 22, 2022 | Educational

AgentPilot desktop demo

Create, manage, and chat with AI agents using your own keys, models, and local data.

Agent Pilot provides a seamless experience, whether you want to chat with a single LLM or a complex multi-member workflow.

Branching conversations are supported; edit and resend messages as needed.

Combine models from different providers under one chat, and configure their interaction with each other in a low-code environment.

Note: This project is under development; each release is stable-ish but may contain unfinished features or bugs, and this README may not be accurate.

AgentPilot gif demo
AgentPilot gif demo
AgentPilot gif demo
AgentPilot gif demo
AgentPilot gif demo

Quickstart

Platform Downloads
Linux Mirror:
AgentPilot_0.3.2_Linux_Portable.tar.gz
MD5: 66038195e76473997dec655e95bd7d62
SHA1: e04749481fdff79dde6ab2e1ecb453809902471e
Windows Mirror:
AgentPilot_0.3.2_Windows_Portable.zip
MD5: 034c1ecfda52ecdba6f560515e36232f
SHA1: c2904d0adffd43421ce8498c90d5545758389904

Building from source? Check out this guide: How to build from source.

Tip: You can migrate your old database to the new version by replacing your executable with the new one before starting the application.

Features

  • Create Agents: Create new agents, edit their configuration, and organize them into folders. Multi-member workflows can be saved as a single agent.
  • Manage Chats: View, continue, and delete previous workflow chats. Organize them into folders.
  • Branching Workflows: Edit and re-run messages, tools, and code for practical chat experiences.
  • Graph Workflows: Add members and blocks to a workflow and configure their interactions. Modify behavior using plugins.
  • Blocks: Manage a collection of nestable blocks for reusability, including Text, Code, Prompt, and Metaprompt blocks.
  • Tools: Create and configure tools for use in any agent or workflow component.
  • AI Generation: Various aspects of Agent Pilot use AI to enhance the experience, including AI-generated text inputs.
  • Plugins: Supports various plugins for agent behavior, workflow behavior, and model provider integration.
  • Code Interpreter: Use Open Interpreter to run code either stand-alone or within agents.
  • Voice: Link agents to TTS services and bring your agents to life!

How to Use Agent Pilot

Using Agent Pilot is as easy as pie! Imagine you’re a chef in a kitchen filled with various ingredients to create your dish. In this case, your dish is an AI agent. You have several key components: ingredients (models), utensils (tools), and a recipe (workflow).

  • Creating an Agent: Just like choosing your ingredients, you start by selecting which models you want to use. You can mix different models together while tweaking and organizing them in folders for easy access.
  • Managing Chats: This is akin to keeping track of your cooking process. You can view your past conversations, continue where you left off, and even delete those that didn’t turn out great!
  • Branching Workflows: If you’re exploring different cooking styles, branching workflows allow you to try various approaches by editing and re-running messages like a chef modifying a recipe.
  • Plugin Support: Think of plugins as specialty ingredients that can elevate your dish. These can be added to customize agent behavior and capabilities.

Troubleshooting

While using Agent Pilot, you might encounter a few hiccups. Here are some troubleshooting ideas:

  • If changing the config of an OpenAI Assistant doesn’t reload the assistant, simply close and reopen the chat.
  • For issues with auto-run code in Open Interpreter, be cautious as the code could start running unexpectedly.
  • If you notice flickering while responses generate, refreshing the page might help stabilize the view.
  • Should the scroll position jump unexpectedly after an AI response, scrolling down manually may resolve it.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Final Thoughts

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

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