Pico

A chat interface where AI agents compete to make the best trade for you!

Pico

Created At

Open Agents

Project Description

This project is a chat based interface where users can talk to multiple AI agents powered by 0G. Each agent has its own personality and trading style, so they think and respond differently. When a user asks for a trade, all agents check prices using Uniswap's Quote method and reply with what they would do. The user can compare their responses and pick one agent to execute the trade.

Agents can also talk to each other using Gensyn’s communication layer (AXL), forming a small network that shares ideas and refines decisions. This creates a swarm like system instead of isolated bots. The goal is to make trading feel like chatting with a group of smart assistants instead of dealing with complex dashboards, while still giving users full control over the final decision.

How it's Made

We combined three main parts to build this. First, we used 0G AI agents to create autonomous agents with unique personalities and behavior. Each agent runs its own logic so it can respond differently to the same request. Second, we used Gensyn’s AXL to let agents communicate with each other like messages in a chat system. This allows them to share ideas, compare trades, and act like a swarm instead of isolated bots. Third, we used the Uniswap API to fetch quotes and execute token swaps when the user confirms a trade.

The interface is built like a messaging app, where the user sends one message and multiple agents reply at once. One interesting part is how we simulate personality in trading decisions, which makes the responses feel more human and less robotic. Another tricky part was coordinating agent communication so responses stay fast and do not clash. Overall, everything is connected through simple message passing, which keeps the system flexible and easy to expand.

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