Adopt AI releases a fully open source agent stack, enabling companies to deploy production-ready AI agents without rebuilding infrastructure.
Adopt AI, an agentic AI company, has launched its Open Source Agent Stack, a developer toolkit designed to make production-grade AI agent development practical, repeatable, and deployable for mainstream engineering teams.
As agentic AI adoption accelerates, companies often face engineering bottlenecks. There is no standard method to convert APIs into agent actions, reliable orchestration layers are lacking, and shared evaluation tools or UI frameworks are absent. Teams frequently rebuild these foundations from scratch, slowing down deployment and complicating production readiness.
“Teams are done reinventing the wheel. They want to ship agents, not build infrastructure. Our open-source stack gives them the clarity and tooling they’ve been missing. Agent building becomes practical, orchestration isn’t scary anymore, and companies can deliver production-grade agents without ripping out their current systems,” said Deepak Anchala, CEO of Adopt AI.
The stack includes:
- Zero-Shot API Discovery (ZAPI): Auto-generates tool cards for instant API interpretation by LLMs.
- Agent Orchestrator: Selects the appropriate agent, action, or tool based on user intent.
- Integration Bridge (AdoptXchange): Connects to existing frameworks like LangChain or LangGraph.
- Agent Testing UI: Ready-to-use chat interface for testing and stakeholder validation.
- Automated Conversation Evals: Ensures agents behave reliably and safely over time.
“Every company we speak with wants agentic workflows, but most discover the same bottlenecks immediately. We built this stack so developers can start where they are. They can plug in one missing component or all of them. They can keep their preferred frameworks. And they finally get a path to production that doesn’t require custom plumbing and setup on every project,” said Gajanan Sabhahit, Product Leader, Adopt AI.
All components are available open source on Adopt AI’s GitHub, with documentation and integration guides, empowering enterprises to deploy intelligent, action-oriented agents at scale without disrupting existing architectures.
