Agent Frameworks
LLM agents, quant frameworks, backtesting engines, and self-hosted trading systems.
Scope
A focused map of the AI agent trading stack.
Track autonomous trading frameworks, execution venues, market data sources, prediction market tools, MCP servers, agent identity systems, payment protocols, and risk-management patterns across crypto, DeFi, CEXs, TradFi, Hyperliquid, Polymarket, Kalshi, and related markets.
Categories
Browse the directory by use case.
MCP Servers
Tool servers that expose trading, market data, execution, memory, and research workflows.
Prediction Markets
Polymarket, Kalshi, paper trading environments, market harnesses, and edge calculators.
Market Intelligence
Price feeds, on-chain analytics, macro data, wallet intelligence, and research APIs.
OpenClaw Skills
Plug-and-play skills for Hyperliquid, Binance, Polymarket, DeFi, and trading workflows.
Risk & Trust
Position sizing, circuit breakers, audit trails, agent identity, reputation, and payments.
Featured resources
High-signal projects from the list.
TradingAgents
Multi-agent LLM financial trading framework
OpenAlice
Research-to-execution AI trading agent
QuantDinger
AI quant platform with live trading and multi-agent research
polymarket-mcp-server
Polymarket MCP server with trading and safety tools
TradeMemory Protocol
Decision audit trail and persistent memory for trading agents
FAQ
Common questions searchers ask.
What is agent trading?
Agent trading refers to autonomous or semi-autonomous trading systems powered by AI agents that analyze markets, call tools and APIs, manage wallets or brokerage accounts, and execute trades under defined risk controls.
What are the best open-source AI trading agent frameworks?
Popular open-source AI trading agent frameworks include TradingAgents, AI-Trader, Vibe-Trading, OpenAlice, QuantDinger, FinRL, Hummingbot, Freqtrade, and OpenClaw-based trading skills.
What MCP servers are available for trading agents?
Trading-related MCP servers include Hyperliquid MCP servers, CoinGecko MCP, Binance MCP, Polymarket MCP servers, financekit-mcp, fintool, TradeMemory Protocol, and prediction market MCP tools.
Can AI agents trade on Polymarket or Kalshi?
Yes. AI agents can use Polymarket CLOB APIs, Kalshi APIs, MCP servers, and specialized tools such as Polymarket MCP servers, Simmer SDK, Kalshi Trading Bot CLI, and Polymarket paper trading environments.