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Condor

Condor is an open source harness for building and running autonomous Trading Agents. It connects LLM-powered decision-making to deterministic trade execution via the Hummingbot API, enabling traders to deploy AI agents that can observe markets, reason about strategy, and execute trades across 50+ exchanges and blockchains.

Full Documentation

The complete Condor documentation has moved to a dedicated site. Visit condor.hummingbot.org for full installation guides, Trading Agents Standard specification, and API reference.

What is Condor?

Condor implements a two-layer architecture that separates probabilistic reasoning from deterministic execution:

  • Agentic Layer: LLM-powered reasoning using the OODA loop (Observe, Orient, Decide, Act)
  • Execution Layer: Deterministic infrastructure for positions, executors, and risk enforcement via Hummingbot API

Where Hummingbot lets one person do the work of a team, Condor lets one person manage a swarm of autonomous agents—each observing markets, adapting to conditions, and executing strategies independently.

Key Features

Feature Description
Trading Agents AI-powered agents that make decisions each tick using LLMs (Claude, Gemini, Codex)
Executors Self-contained trading operations with standardized P&L tracking
Positions Virtual portfolio tracking for spot, perp, and LP positions
Bots Docker containers for long-running market making and grid trading
Routines Deterministic workflows for indicators, webhooks, and alerts
Multi-Interface Telegram bot, web dashboard, and CLI access with session continuity

Quick Start

Install Condor with a single command:

curl -fsSL https://raw.githubusercontent.com/hummingbot/deploy/refs/heads/main/setup.sh | bash

This script clones the repository, installs dependencies, and prompts you for your Telegram Bot Token and User ID to configure the Telegram interface.

Resources

Resource Link
Full Documentation condor.hummingbot.org
GitHub Repository github.com/hummingbot/condor
Discord Support #condor-feedback
Hummingbot API Hummingbot API Docs