Event Driven Multi Agent Framework

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.

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.

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.

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.

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.

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.

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.

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.

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.

Agno is an agent framework and runtime for building and running multi-agent systems, offering SDK and control plane for agents, memory/knowledge management, tool integrations, scalable cloud deployment, and security features like RBAC and request isolation.

Emergence AI is a platform for enterprises to create and manage intelligent agents, streamlining workflows by automating tasks, analyzing data, and addressing operational challenges across various industries, enhancing reliability and decision-making.

multica is an open-source platform for managing mixed human and AI agent teams, assigning and tracking tasks with real-time progress streaming, unified activity feeds, reusable agent skills, runtime management, CLI/API integrations, and self-hosted deployment.

XenonStack offers a unified reasoning foundation for autonomous AI agents in operations, finance, security, and supply‑chain workflows. It supports private, edge, and multi‑cloud environments with policy‑driven governance, real‑time analytics, and seamless integration with Snowflake, Databricks, and

Forethought automates ticket routing, classification, and resolution across chat, email, voice, and Slack. It learns from past tickets, gives real‑time agent insights, and can resolve many inquiries, reducing response time and workload.

MuleRun is an AI agent marketplace that lets users find, customize, schedule and run agents for content creation, image generation, e-commerce, workflow automation, investment research and gaming, with one-click execution and creator publishing tools.

SuperAGI is an open-source autonomous AI framework for building and managing efficient and reliable autonomous agents that learn and improve over time.

Salesforce is a cloud CRM that centralizes customer, transactional and engagement data and uses agent-based AI (Agentforce) to automate lead qualification, case resolution, predict outcomes, recommend next-best actions and orchestrate multi-step, industry-specific workflows.

AI Agent is a web app that allows users to create customized AI agents to perform specific tasks and achieve goals.

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.

Aampe is an agentic infrastructure for real-time personalization, assigning a dedicated AI agent to each user to run parallel experiments and adapt messaging individually. It enables automated testing and causal simulation to optimize engagement across integrated marketing channels without manual mo

apex.ai is a comprehensive platform providing safety-certified software tools and services for autonomous systems. Its modular products enable deterministic execution, high-speed data routing, repeatable testing, and automated deployment for robotics and embedded applications.

Zenfox.ai is an agentic AI platform that connects 3,000+ apps (Gmail, Slack, CRM, etc.) to execute real-system tasks and automate end-to-end workflows using natural language. It features 24/7 background agents with persistent memory, zero-code builders, and review-and-approve controls for secure, sc

Agent Arena is an AI agent competition platform for developers and researchers hosting live head-to-head and time-limited campaigns where agents are submitted, tested and benchmarked with public leaderboards, integrated LLM/framework support, varied game formats and reproducible match logs.

Agent One is a no‑code platform that lets businesses build white‑labeled AI assistants on custom domains. It supports OpenAI, Claude, and Gemini, offers one‑click deployment, real‑time data fetching, API integration, and multilingual analytics.

Buda AI is a cloud-native workspace where teams build, run, and coordinate specialized AI agents for coding, sales, marketing, and operations. It centralizes agent-driven workflows with automation, integrations, and a marketplace to reduce manual handoffs and scale routine tasks.

paperclip is an open-source, self-hosted AI orchestration platform for creating and managing autonomous companies and agent teams—providing role-based hiring, goal-driven task delegation, budgeting, audit trails, multi-tenant deployment, extensible LLM integrations, and monitoring dashboards.

HumanLayer is an open-source IDE and orchestration layer for AI coding agents, managing parallel Claude Code sessions, multiclaude workflows, worktrees and remote workers, with context-engineering tools, session replay, workflow templates and GitHub-integrated code-review automation.

Verdent AI is a development environment for agentic coding that enables parallel execution of multiple agents in isolated workspaces. It streamlines workflow with context-switching, built-in clarification tools, and VS Code integration for faster, production-ready feature delivery.

DataRobot is an enterprise agent workforce platform for building, deploying, and governing production-grade AI agents across on-prem, hybrid, and cross-cloud environments, offering blueprints, integrations, compute orchestration, observability, security controls, and governance tooling.

SmolAgent is an opensource AI agent framework that simplifies creation of complex automations using pre-built llm models and agents, or custom development with open source tools.

ZenMux offers a unified API and single account gateway for multimodal AI models (text, image, audio, video), with OpenAI/Anthropic/Vertex compatibility, model auto‑routing, automated failure compensation and benchmarks, plus enterprise failover, tracing, and observability.

BotPress is a platform for building and managing AI agents that power contextual, stateful conversations. It features an Agent Studio for rapid creation and supports extensive integrations, knowledge bases, and custom code for automation across various industries.

Maestro is an AI agent command center that orchestrates autonomous coding agents across desktop, CLI, and mobile, supporting multi-agent workflows, scheduling, Git-aware editing, remote control, real-time monitoring, and JSON/log outputs for automation.

AgentWorks™ facilitates the development and deployment of AI agents within enterprises, offering interoperability, one-click fine-tuning, compliance validation, performance evaluation, multi-agent workflow orchestration, and a secure infrastructure for various deployment environments.

AgentRunner is a workflow builder for AI app development, featuring visual prompt engineering, integration with popular AI models, performance monitoring, and versioning. Its node-based editor supports complex applications and enhances team collaboration in a secure environment.

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.

OnDemand AI Agents is a decentralized OS that lets users build, deploy, and scale AI agents without a dev team. It offers a no‑code workflow builder, an agent marketplace, secure model integration, an AI playground for testing, and enterprise‑grade security.

Forethought is a multi‑agent AI platform automating support across chat, email, voice, Slack, and embedded apps. Its agents solve, assist, discover gaps, and triage tickets, auto‑create help‑center content, integrate with 70+ tools, and reduce agent workload while shortening resolution times.

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.

Devin automates code generation, review, and fixes using AI agents. It schedules tasks, tracks dependency graphs, and integrates with CI/CD pipelines, boosting productivity and consistency across diverse codebases for engineering teams and organizations.

Future AGI is a developer‑first platform for LLM observability and evaluation across text, image, audio, and video. It provides synthetic dataset generation, no‑code experiment tracking, built‑in metrics, real‑time production monitoring, safety checks, and automated prompt refinement for continuous

MLflow is an open‑source AI engineering platform that tracks LLM and agent execution, monitors performance, cost, and safety, manages prompts, and supports experiment tracking, tuning, and deployment across multiple clouds or on‑premises.

Janus is an end-to-end simulation engine for evaluating AI agents, automating benchmark generation and creating diverse simulation environments. It enhances agent performance through continuous validation, hallucination detection, and personalized dataset evaluations.

happycapy runs AI agents and skill modules directly in the browser, offering GUI and CLI interfaces, a skills store, browser automation, private sandboxed execution, live monitoring and action review, and developer extensibility for custom skills and workflows.

ecc.tools converts repository history into reusable skills, agents, and harnesses, providing a skills catalog, GitHub app for repo-native automation, continuous learning, security scanning (AgentShield), TDD/security enforcers, and configurable installs for CI/CD workflows.

Spine Swarm is a browser‑based platform that orchestrates multiple AI agents to execute complex tasks in parallel, delivering reports, code, dashboards or visuals without coding. It supports 300+ models and offers a no‑setup experience for non‑technical users.

Pioneer automates retraining and deployment of open-source models, using live inference data for fine-tuning and one-shot adaptation. It manages adaptive inference, routing, RAG pipelines, agent workflows, synthetic data generation, monitoring, and automated checkpoint promotion.

Neo AI engineer is an autonomous agent that automates building, evaluating, and deploying ML models, LLMs, and RAG pipelines. It manages experiments, fine-tuning, and multi-step workflows, producing versioned artifacts with full evaluation and benchmarking across vendors.

Capafy is an AI agent marketplace for publishing, versioning and distributing autonomous agents, with deployment configuration for cloud and edge, searchable discovery, tagging and filters, developer onboarding, collaboration features, integrations and built-in analytics.

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.