Groq Agents
A typescript SDK and framework for building autonomous AI agents that can self coordinate and self develop tools to complete a task.
Groq Agents is an open-source TypeScript SDK I developed that fundamentally reimagines how autonomous AI agents are built and deployed. Leveraging Groq's ultra-fast inference capabilities, this framework enables developers to create agents that can not only solve complex tasks but actively coordinate with other agents and dynamically develop their own tools when facing novel challenges.
The architecture is built around three core innovations: a declarative agent definition system using TypeScript generics for type safety, a self-modification protocol that allows agents to propose and implement new capabilities within security boundaries, and a coordination mesh that enables multi-agent workflows with minimal developer intervention.
I integrated Zod for runtime type validation throughout the system, ensuring that even as agents evolve their capabilities, they maintain consistent and predictable behavior. The SDK extends the Vercel AI SDK, providing familiar abstractions while adding specialized functionality for autonomous operation and self-improvement.
A key technical challenge was implementing the tool creation system, which allows agents to generate, test, and deploy new JavaScript functions to extend their capabilities. I developed a secure sandboxing mechanism and approval workflow that balances autonomy with safety, preventing potential security issues while maintaining the system's flexibility.
The framework has been adopted by over 300 developers since its release, with applications ranging from research assistants to complex workflow automation systems. Multiple companies have reported 60-80% reductions in development time for agent-based applications after adopting Groq Agents.
The project is available on npm and continues to evolve through community contributions, with a growing ecosystem of extensions and pre-built agent templates.