Agent Stack is an open infrastructure platform designed to take AI agents from prototype to production, no matter how they were built. It includes a runtime environment, multi-tenant web UI, catalog of agents, and deployment flow that seeks to remove vendor lock-in and provide greater autonomy. Under the hood it’s built on the “Agent2Agent” (A2A) protocol, enabling interoperability between different agent ecosystems, runtime services, and frameworks. The platform supports agents built in frameworks like LangChain, CrewAI, etc., enabling them to be hosted, managed and shared through a unified interface. It also offers multi-model, multi-provider support (OpenAI, Anthropic, Gemini, IBM WatsonX, Ollama etc.), letting users compare performance and cost across models. For developers and organizations building AI-agent products or automations, Agent Stack gives a scaffold that handles the “plumbing”, so they can focus on logic and domain.

Features

  • Instant generation of shareable UI for agents from your code
  • Deployment workflow from container to production-ready services
  • Multi-model, multi-provider support for LLMs (OpenAI, Anthropic, Gemini, etc)
  • Framework-agnostic support (LangChain, CrewAI, custom code)
  • Agent catalog and multi-tenant management for production teams
  • Open infrastructure with no vendor lock-in for agent hosting

Project Samples

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python AI Agent Frameworks, Python AI Agents, Python MCP Gateways

Registered

3 days ago