AI Agent Tools

AI Agent Tools AgentFlow: Modular AI Agent Framework Outperforms GPT-4o

AgentFlow utilizes Planner, Executor, Verifier, and Generator modules to resolve complex tasks. Built on a 7B backbone, it outperforms GPT-4o across 10 key benchmarks.

AI Agent Tools TradingAgents-MCP: A 15-Agent AI Framework for Real-Time Stock Analysis

TradingAgents-MCP leverages 15 specialized agents and MCP tools to evaluate US, Chinese, and Hong Kong stocks. Features parallel processing, bull-bear debates, and a Streamlit-based UI.

AI Agent Tools Parlant: Build AI Agents That Follow Rules, Not Prompts

Parlant replaces brittle prompts with enforceable guidelines. Build customer-facing agents that stay on script with React components and multi-LLM support.

AI Agent Tools SE-Agent: Self-Evolving AI Agent Tops SWE-bench Verified

SE-Agent utilizes revision, recombination, and refinement to evolve LLM agent trajectories. It achieves an 80% solve rate on SWE-bench Verified and up to 112% performance gains across various models.

AI Agent Tools Eigent: Multi-Agent Workflow Desktop App with CAMEL and MCP

Eigent runs multi-agent workflows directly on your desktop. Built on the CAMEL framework with MCP tool support, local model compatibility, and human-in-the-loop functionality. 100% open source.

AI Agent Tools Open Deep Research: Customizable AI Agents for Automated Report Generation

Open Deep Research is an open-source framework that automates comprehensive research using customizable models, search APIs, and MCP servers. Run parallel tasks and generate structured, high-quality reports.

AI Agent Tools Coze Studio: Build and Deploy AI Agents with Golang and React

Coze Studio is a comprehensive development environment for AI agents featuring visual workflows, model integration, and a Golang microservices backend. Build and deploy custom agents efficiently.

AI Agent Tools JoyAgent-JDGenie: An Open-Source Multi-Agent System for Direct Report Generation

JoyAgent-JDGenie is an open-source, end-to-end multi-agent system that converts natural language prompts into polished reports and presentations. It achieves a 75.15% score on the GAIA benchmark while remaining ecosystem-agnostic.

AI Agent Tools RunAgent: Build AI Agents in Python, Invoke Them Natively from Any Language

RunAgent enables developers to write AI agents in Python and call them natively from Rust, Go, or JavaScript. It eliminates the need for manual REST API management while providing full streaming support and one-command deployment.

AI Agent Tools OxyGent: Build Multi-Agent Systems That Learn and Scale Without YAML

OxyGent treats agents, tools, and models as modular "Oxy" components. Build production-grade multi-agent systems in Python, deploy with a single command, and utilize built-in self-improvement loops.