How to build TypeScript AI agents that can be deployed across multiple platforms

How to build TypeScript AI agents that can be deployed across multiple platforms

This task can be performed using Flue Framework

Build powerful TypeScript agents once, deploy them anywhere.

Best product for this task

Flue F

Flue is a TypeScript framework for building programmable AI agents with a controllable harness, sandbox, and filesystem access. It lets teams create custom autonomous agents for coding, issue triage, analytics, and support, deployable via CLI or HTTP without relying on generic hosted systems.

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What to expect from an ideal product

  1. Write your TypeScript agent code once using Flue's framework and run it on any platform without rewriting or adapting for different environments
  2. Use the built-in sandbox and filesystem access to create agents that can safely interact with codebases, analyze data, and handle support tasks across different deployment targets
  3. Deploy through CLI commands or HTTP endpoints instead of being locked into specific hosted platforms that limit where and how your agents run
  4. Take advantage of the controllable harness system to manage agent behavior consistently whether you're running locally, on cloud servers, or in containerized environments
  5. Build custom agents for specific use cases like code reviews, ticket management, or data analysis that work the same way regardless of your infrastructure setup

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