Multi Agent Trading Framework

TradingAgents is a multi-agent LLM framework that orchestrates specialized AI agents for algorithmic trading research and development. It enables backtesting, model comparison across top LLMs, and structured decision logging for quantitative trading workflows.

OpenAgents is an open-source framework for building and operating scalable, interoperable AI agent networks. It provides tools to launch, connect, and orchestrate agents with live monitoring, enabling collaborative applications and workflows.

Agency Swarm is an AI-powered framework that enables users to create and manage collaborative agents with specialized roles. It offers customizable agent functions, efficient communication flows, and state management, making it ideal for automating workflows and AI-driven decision-making.

Swarm is an experimental framework by OpenAI for orchestrating multiple AI agents in a modular, scalable manner. It enables dynamic task handoffs, function execution, and context management, making it ideal for complex, multi-agent workflows like customer support and automation.

NOF1 is an AI trading platform linking multiple LLMs to live market execution, model chat logs and a public leaderboard, enabling transparent benchmarking, real‑time P&L, chain‑of‑thought review, strategy-mode analytics and time-series performance charts.

AgentX is a multi-agent AI platform for building, training, and deploying conversational agents using a no-code visual builder or developer tools, supporting multiple LLMs, RAG knowledge connectors, omnichannel deployment, integrations, analytics, voice, and on-premise options.

CrewAI is an advanced open source AI agent framework that simplifies creation of complex automations using pre-built models and agents, or custom development with open source tools. Engaged community for sharing and support.

GenWorlds is an event‑driven framework for building scalable multi‑agent systems in generative AI worlds, supporting custom agents, objects, goals, memory imports, cognitive models (Tree of Thoughts, Chain of Thoughts, AutoGPT), WebSocket interfaces, and integration with Qdrant and LangChain.

QnA3 aggregates on‑chain and off‑chain data for Web3 market analysis, providing a data marketplace, API/SDK, and Agent‑as‑a‑Service for low‑code strategy deployment secured by smart contracts. It supports subscription, profit‑sharing, real‑time leaderboard rankings, and social trading collaboration.

Agents‑Flex is a lightweight Java framework that builds AI agents with Model Context Protocol support, reusable AI skills, Text2SQL, and integrated RAG, vector, prompt, and memory modules, enabling LLM and local Ollama deployment via HTTP, SSE, WebSocket.

Robinhood Agentic Trading connects third-party AI trading agents to a dedicated Robinhood account for automated market analysis, order execution and portfolio rebalancing across equities, options, futures and crypto, supporting custom strategies but risking rapid, unapproved trades and full loss.

AgentZero is an AI framework that enables dynamic learning, persistent memory, and multi-agent collaboration for complex tasks. It offers built-in tools for knowledge, coding, and communication, with a user-friendly web interface for real-time interaction.

Hermes Agent is an open-source agent framework for building and deploying autonomous AI agents and developer workflows, offering multi-model adapters, runtime model switching, integrated tools (code execution, browser automation, image and file ops, messaging), plugin extensibility, and scheduler.

Simulation-driven platform that evaluates and monitors AI agents across modalities with realistic multi-turn scenarios, CI/CD-integrated automated tests, configurable safety/policy guardrails, and analytics for failures, hallucinations, and performance to ensure production readiness.

Agency-agents is a GitHub repository of specialized AI agent templates and production-ready workflows. It provides deliverable-focused agents with defined missions and integrations to automate tasks and generate measurable outcomes across development, design, and business roles.

SyntrofAI is a multi-agent operating system that coordinates AI agents to design, execute, and share end-to-end workflows, enabling persistent memory, low-latency neural-hybrid processing, local/air-gapped deployment, developer debugging, audited logs, and modular scaling.

mirofish is a swarm-intelligence prediction engine that extracts seed inputs (news, policies, financial signals) to run large-scale multi-agent simulations with thousands of agents, producing detailed forecasts, interactive scenario environments, and queryable results for decision support and hypoth