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Basic Information

RunAgent is an AI agent deployment platform and developer toolkit designed to let teams write agents once in Python and access them natively from multiple languages. It provides a local FastAPI development server, a CLI for project lifecycle commands, configuration via a runagent.config.json file that exposes entrypoints from your code, and multi-language SDKs to invoke those entrypoints as if they were local functions. The project is framework-agnostic with templates and guides for popular Python agent frameworks and supports both synchronous and streaming responses. It also documents a clear path from local development to one-command cloud deployment (serverless cloud platform coming soon) and outlines enterprise features planned for future releases. The repository includes templates, examples, comprehensive documentation, and tools for monitoring, logging, and debugging agent behavior.

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App Details

Features
RunAgent bundles a developer-focused CLI and cross-language SDKs (Python, JavaScript/TypeScript, Rust, Go) with native streaming support and type-friendly clients. It offers project initialization templates for multiple frameworks, a local FastAPI server with hot reload for development, and a configuration model based on runagent.config.json and entrypoints to expose functions. Built-in features include synchronous and asynchronous streaming iterators for each language, a development dashboard with logging and monitoring, framework-agnostic templates and examples, and a suite of CLI commands for init, serve, deploy, run, setup, and template management. The repo highlights future cloud auto-scaling, global edge deployment, webhooks, and enterprise features like private cloud, RBAC, and compliance.
Use Cases
RunAgent reduces boilerplate and operational overhead when building AI-enabled applications by letting developers focus on agent logic rather than REST or streaming plumbing. Teams can write agents in Python and consume them from web, mobile, desktop, or high-performance backends without custom serialization code. Polyglot teams benefit from native-feeling SDKs and streaming that integrate idiomatically into each language. The platform supports rapid prototyping with templates and local hot-reload, and it provides a clear upgrade path toward production with monitoring, logging, and planned serverless deployment and enterprise controls. The repository"s documentation, examples, and testing setup make it practical for self-hosting, CI workflows, and incremental adoption. The project is released under the Elastic License 2.0 with usage and managed-service restrictions.

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