Eko is a production-ready JavaScript framework for building agentic workflows that run in both computer and browser environments.
The framework addresses the challenge of creating reliable agents that can handle tasks ranging from simple commands to complex multi-step workflows. It provides a unified interface across different execution environments and emphasizes human-in-the-loop capabilities, allowing developers to intervene in agent execution when needed. The tool supports dependency-aware parallel agent execution, enabling multiple agents to work on tasks simultaneously while respecting their dependencies. It offers flexibility in customizing agents and tools, integrates with Model Context Protocol servers, and allows dynamic selection of language models to balance speed and performance.
Eko suits teams building production agentic systems that need to run across multiple platforms and require human oversight capabilities. It is particularly valuable for projects requiring access to private web resources and those needing to coordinate multiple agents on complex tasks. The framework compares favorably to alternatives like Langchain, Browser-use, Dify.ai, and Coze in supporting all platforms, enabling workflows from simple commands to multi-step processes, providing intervenability, and supporting task parallelization. Unlike some alternatives, it offers high development efficiency and can handle high task complexity while remaining open-source.
The project maintains active development with recent releases introducing chat conversation support and optimized agent logic, dependency-aware parallel execution, and workflow recovery features including pause, resume, and interrupt controls. The tooling infrastructure was migrated to pnpm for consistent workspace management. The project provides example implementations and comprehensive documentation including quickstart guides and configuration best practices, with particular attention to security considerations around API key handling in browser environments.
