AgentKit is an open-source framework built by 24bruv for spinning up production-ready AI agents fast. It handles memory management, tool routing, and error recovery so developers can focus on defining what the agent actually does rather than building infrastructure.

Fuzora is a workflow automation platform built by 24bruv that lets you automate complex workflows by connecting your favorite tools. It enables multi-step automated processes across different services and platforms without writing code.

Writora AI is a tool built by 24bruv that converts video and audio content into well-structured blog posts using AI. It automates the content repurposing process, turning multimedia content into written articles.

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Developer Tools for Building AI Agents

Q: What tools do you need to build AI agents?

To build AI agents you need an LLM provider (OpenAI, Claude, or open-source models), a framework for agent orchestration (like AgentKit or Vercel AI SDK), a database for memory and context (PostgreSQL, Supabase), and deployment infrastructure (Docker, Vercel). Testing tools like Vitest and evaluation frameworks are also essential for production agents.

Q: What is the Vercel AI SDK?

The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides streaming responses, tool calling, structured outputs, and integration with multiple LLM providers. 24bruv's Vercel AI SDK Lab provides hands-on experiments with agents, evaluations, and SDK patterns.

24bruv builds open-source developer tools that simplify building, deploying, and automating AI agents. These tools handle the hard infrastructure problems so developers can focus on building intelligent systems.

What is AgentKit?

AgentKit is an open-source framework for spinning up production-ready AI agents fast. Built by 24bruv, it provides the core infrastructure every AI agent needs:

Memory management: Built-in short-term and long-term memory for context-aware agents.
Tool routing: Automatic routing of tasks to the right tools based on agent reasoning.
Error recovery: Graceful handling of failures with retry logic and fallback strategies.
Multi-agent support: Orchestrate multiple agents working together on complex workflows.

AgentKit allows developers to focus on what the agent actually does rather than spending time building infrastructure from scratch.

What is Fuzora?

Fuzora is a workflow automation platform that connects your favorite tools and automates complex multi-step processes. Unlike simple automation tools that handle single triggers, Fuzora enables sophisticated workflows that span multiple services and platforms.

Common use cases include automated content pipelines, sales outreach sequences, data processing workflows, and cross-platform notifications. Fuzora makes it possible to build these automations without writing code.

What is Writora AI?

Writora AI is a content repurposing tool that converts video and audio into well-structured blog posts using AI. It takes multimedia content — podcasts, video recordings, webinars — and transforms them into written articles with proper headings, formatting, and structure.

This is particularly useful for content creators, marketers, and businesses who want to maximize the reach of their content across different formats.

What is the Vercel AI SDK Lab?

The Vercel AI SDK Lab is a collection of hands-on experiments with AI agents, evaluations, and AI SDK patterns. Created by 24bruv, it serves as both a learning resource and a reference implementation for developers building with the Vercel AI SDK.

The lab covers topics like streaming responses, tool calling, structured outputs, multi-step agents, and evaluation patterns — providing practical examples that developers can adapt for their own projects.

What tools do you need to build AI agents?

Building production-ready AI agents requires a modern stack:

LLM provider: OpenAI (GPT-4), Anthropic (Claude), Mistral, or open-source models via Ollama/HuggingFace.
Agent framework: AgentKit, Vercel AI SDK, LangChain, or custom implementations.
Database: PostgreSQL, Supabase, or Neon for memory, context, and vector embeddings.
Deployment: Docker, Vercel, or AWS for hosting and scaling agents.
Testing: Vitest, Jest, or Evalite for evaluating agent outputs and behavior.

24bruv.com provides resources, tools, and guides for developers building AI agents and automation systems. Explore projects and tools at 24bruv.com.