Agentspan is a distributed runtime designed to run AI agents reliably across machines while maintaining long-lived execution states. It enables agents to persist beyond process crashes, allowing workflows to continue even after interruptions or restarts. The system is built for durability, meaning tasks can pause for extended periods, including waiting for human approval, and then resume seamlessly. It supports scaling across multiple environments, making it suitable for production-grade agent orchestration. Agentspan includes a local server and visual interface that allow developers to inspect execution flows and debug agent behavior. It also integrates with multiple model providers, enabling flexibility in selecting underlying AI systems. Overall, it provides infrastructure for building resilient, long-running AI agents rather than short-lived scripts.

Features

  • Distributed runtime for long-running AI agents
  • Persistence across crashes and restarts
  • Support for human-in-the-loop approval workflows
  • Scalable execution across multiple machines
  • Visual interface for monitoring agent execution
  • Integration with multiple AI model providers

Project Samples

Project Activity

See All Activity >

Categories

Agentic AI

License

MIT License

Follow Agentspan

Agentspan Web Site

Other Useful Business Software
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Agentspan!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

TypeScript

Related Categories

TypeScript Agentic AI Tool

Registered

2026-04-27