Introduction

Documentation Index

Fetch the complete documentation index at: https://condor.hummingbot.org/llms.txt

Use this file to discover all available pages before exploring further.

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What is Condor?

Condor is an open source agent harness for deploying and managing fleets of AI trading agents. It connects LLM-powered decision-making to deterministic trade execution, enabling you to run autonomous agents that observe markets, reason about strategy, and execute trades.

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What can you do with it?

Scale your trading operation

• Run dozens of agents simultaneously on shared accounts
• Each agent tracks its own P&L independently
• Experiment with different strategies in parallel

Trade anywhere

• 50+ CEX connectors (Binance, Bybit, OKX, Hyperliquid, etc.)
• DEX support via Gateway (Uniswap, Jupiter, Raydium)
• Multi-leg strategies across exchanges and chains

Choose your execution style

• Trading Agents: AI-powered, make decisions each tick
• Bots: Long-running containers for market making, grid trading
• Executors: Single trades with defined entry/exit

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Who is it for?

Algorithmic traders who want to add AI reasoning to their strategies without rebuilding execution infrastructure. Quants and researchers who want to experiment with many agents, compare performance, and iterate quickly. Developers who want to build trading applications on top of a battle-tested execution layer. Crypto funds who need multi-agent orchestration with proper P&L isolation and audit trails.

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What makes it different?

Two-server architecture separates LLM reasoning from trade execution. The Condor Server handles agent logic and state; the Hummingbot API handles data and execution. This means:

• Execution continues even if the LLM is slow
• Agents can share market data efficiently
• You can swap LLM providers without touching execution code

Full observability. Every tick is captured: the prompt sent to the LLM, its reasoning, tool calls made, and results. You can replay any decision. Deterministic routines move expensive computations (indicators, data processing) out of the LLM into reusable Python code. This cuts token costs and makes behavior reproducible. Multi-agent by design. Agents use controller_id to isolate their positions and P&L on shared exchange accounts. Run 50 agents on one API key.

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Who is behind this?

Condor is built by Hummingbot Foundation, a not-for-profit organization that maintains the open source Hummingbot trading framework used by thousands of traders worldwide. The Foundation is supported by exchange partners and community contributions. There’s no VC funding or token—just open source software.

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How do I get started?