I've been building with Claude Code daily and kept thinking: what if I could give my users the same experience — an AI agent that explores context, plans, executes tools, and builds things — but embedded natively in my own application?

So I built *Hive Agent*, an open-source TypeScript framework that reproduces the core Claude Code architecture as a library you can integrate into any app.

*What it does:*

- *Workspace system* — Give the agent any context via a virtual filesystem. Feed it your user's data, project files, API responses — whatever your app needs. The agent reads, writes, and searches through it using bash-like commands. - *Built-in Explore & Plan agents* — Just like Claude Code, Hive auto-spawns sub-agents to investigate workspace data before acting and to design step-by-step plans for complex tasks. - *Sub-agent orchestration* — Spawn specialized agents with different models (Claude, OpenAI), different tools, and structured I/O. A research agent can use GPT-4, while the main agent uses Claude. - *Custom tools* — Define any tool your app needs. API calls, database queries, browser automation, document generation — the agent calls them as needed. - *Stateless & serverless-ready* — No persistent state. Works in Firebase Functions, Vercel, AWS Lambda. Pass history in, get history out. - *Execution tracing & cost tracking* — Full hierarchical traces with per-model token usage and cost breakdown. - *Interactive mode* — Agent can pause and ask clarifying questions, just like Claude Code does.

*What you can build with it:*

- AI coding assistants scoped to your platform - Document generators that understand your users' context - Project scaffolding tools - Support agents with access to your internal APIs - Any workflow where an AI needs to explore data, plan, and act

*Quick example:*

```typescript import { Hive, ClaudeProvider } from '@alexnetrebskii/hive-agent'

const agent = new Hive({ systemPrompt: 'You are a project generator...', tools: [myApiTool, myDbTool], llm: new ClaudeProvider({ apiKey: process.env.ANTHROPIC_API_KEY }), workspace: new Workspace({ paths: { 'user/requirements.json': { value: userReqs } } }) })

const result = await agent.run('Create a new project based on my requirements') ```

The agent will explore the workspace, plan the approach, create files, call your tools — all autonomously.

*Links:*

- GitHub: https://github.com/anetrebskii/hive-agent - Install: `pnpm add @alexnetrebskii/hive-agent` - MIT licensed

I'd love feedback from anyone building agent-powered features. What tools or patterns would you want built-in? Try it out and let me know what breaks.