Agent Orchestration Landscape Survey

Overview

This repository hosts a comprehensive, interactive survey of the AI agent orchestration landscape as of early 2026. It serves as a centralized resource for developers, researchers, and enterprises to explore the rapidly evolving ecosystem of agent frameworks, benchmarking tools, and datasets.

The project features a responsive web interface that categorizes tools into key segments:

• Code-First Frameworks: Libraries designed for developers building complex, multi-agent systems (e.g., LangGraph, AutoGen).
• Visual / Low-Code Platforms: Tools enabling non-technical users to design agent workflows (e.g., n8n, Flowise).
• Enterprise Solutions: Managed services focusing on security, scale, and compliance (e.g., Azure AI Agent Service).
• Benchmarking: Essential utilities for evaluating agent performance, reliability, and safety.

Contributing

Contributions are welcome.

How to Contribute: Adding Items

1. Add a Framework: If a tool is missing, please submit a Pull Request adding it to the rawData array in index.html. Ensure all fields (philosophy, proficiency, setup, etc.) are completed.
2. Update Data: Correct outdated information regarding features, pricing models, or documentation links.

Contribute: Improve Web Page

The web page can be improved in various ways. For now, it's just a quick single-page HTML.

1. Enhance the UI: Improvements to the visualization, filtering logic, or design are encouraged.
2. Improve Code Structure: Separate logic from data (move CSS and JS to separate files).
3. Add Examples: Find good examples and add them in a way the fits the design.

License

This project is open-source and available under the MIT License.