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Eko

Eko

Eko is a developer-focused intelligent agent framework for efficient workflow automation and task decomposition, supporting various platforms and customizable tools.
Author:LoRA
Inclusion Time:10 Feb 2025
Visits:8588
Pricing Model:Free
Introduction

What is Eko?

Eko is a production-grade intelligent agent framework aimed at developers. It simplifies building complex workflows through natural language and code logic. Key benefits include efficient task decomposition, robust tool support, and flexible customization options. Eko helps developers automate tasks quickly and efficiently, reducing development time and costs. It is developed by the FellouAI team and is open source, supporting multiple platforms like browsers and desktops.

Who Can Benefit from Eko?

Eko is ideal for developers who need to build automated workflows or work with smart agents. It's particularly useful for those who require flexibility and customization in their projects. It can help turn ideas into products faster while lowering development costs and time.

Example Scenarios

Browser Extension: Analyze stocks in real-time using a browser extension.

Desktop Application: Scan and clean large files on your computer to free up storage space.

Marketing Blog Creation: Analyze competitors based on project documentation, write, and publish marketing blogs.

Key Features

Mix natural language and programming languages to design workflows from simple commands to complex processes.

Utilize built-in tools like web content extraction, command execution, and file export for quick integration.

Customize tools to extend the framework’s functionality.

Use layered planning techniques that separate offline planning from execution, ensuring reusable and modifiable task plans.

Support for various large language models (LLMs) such as ChatGPT and Claude 3.5, allowing developers to switch flexibly.

Getting Started with Eko

1. Visit the official Eko documentation at to learn about its basic concepts and usage.

2. Choose a suitable language model, such as Claude 3.5, and initialize an Eko instance.

3. Describe tasks using natural language, for example, "Based on Eko’s README, search for competitors, write, and publish a blog."

4. Modify workflow nodes as needed, such as adding specific URLs or adjusting tool parameters.

5. Execute the workflow, observe the results, and make adjustments or optimizations as necessary.

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