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library for building stateful, persistent AI agents","maintainers":[{"name":"avee1234","email":"das.abhijit34@gmail.com"}],"readme":"# agent-kit\n\n[![CI](https://github.com/abhid1234/agent-kit/actions/workflows/ci.yml/badge.svg)](https://github.com/abhid1234/agent-kit/actions/workflows/ci.yml)\n[![npm version](https://img.shields.io/npm/v/@avee1234/agent-kit)](https://www.npmjs.com/package/@avee1234/agent-kit)\n[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)\n\nTypeScript-first library for building stateful, persistent AI agents.\n\n**[Live Playground](https://www.abhi-agent-kit.space)** | **[Blog Post](https://abhid.substack.com/p/i-built-an-open-source-ai-agent-framework)** | **[npm](https://www.npmjs.com/package/@avee1234/agent-kit)** | **[Docs](https://abhid1234.github.io/agent-kit/)**\n\n---\n\n## Why agent-kit?\n\n

\n \"Comparison\n

\n\n- **Persistent memory across sessions** — SQLite or PostgreSQL. Restart your process; the agent still remembers.\n- **Simple tool system** — define a tool in 5 lines with `Tool.create`. No decorators, no class inheritance.\n- **Multi-agent coordination** — 4 strategies: Sequential, Parallel, Debate, Hierarchical.\n- **Built-in observability** — subscribe to `tool:start`, `tool:end`, `memory:save` events. No paid add-on.\n- **TypeScript-first** — strict types throughout. Your editor autocompletes everything.\n\n---\n\n## 4 Core Concepts\n\n

\n \"Agent,\n

\n\n

\n \"Agent,\n

\n\n---\n\n## Installation\n\n```bash\nnpm install @avee1234/agent-kit\n```\n\nOr scaffold a new project:\n\n```bash\nnpx @avee1234/agent-kit init my-agent\n```\n\n---\n\n## Quick Start\n\n```typescript\nimport { Agent, Tool, Memory } from '@avee1234/agent-kit';\n\nconst searchTool = Tool.create({\n name: 'web_search',\n description: 'Search the web',\n parameters: { query: { type: 'string' } },\n execute: async ({ query }) => fetch(`https://api.search.com?q=${query}`).then(r => r.json()),\n});\n\nconst agent = new Agent({\n name: 'research-assistant',\n model: { provider: 'ollama', model: 'llama3' },\n memory: new Memory({ store: 'sqlite' }),\n tools: [searchTool],\n system: 'You are a research assistant.',\n});\n\nconst response = await agent.chat('Find recent papers on transformers');\n```\n\nNo model config required — ships with a built-in `MockAdapter` for development and testing without API keys.\n\n---\n\n## The \"Wow Moment\": Memory That Survives Restarts\n\n

\n \"Agent\n

\n\nKill the process, restart it, same SQLite file — the agent picks up where it left off.\n\n

\n \"Short-term\n

\n\n---\n\n## Multi-Agent Coordination\n\n

\n \"4\n

\n\n```typescript\nconst team = new Team({\n agents: [researcher, writer, critic],\n strategy: 'debate',\n maxRounds: 3,\n});\nconst result = await team.run('What is the best database for embeddings?');\n```\n\n---\n\n## Built-In Observability\n\n

\n \"Real-time\n

\n\n```typescript\nagent.on('*', (e) => console.log(e.type, e.data, e.latencyMs));\n```\n\nNo LangSmith, no third-party service. Just `EventEmitter` — pipe it to whatever you use.\n\n---\n\n## Where Each Tool Shines\n\n

\n \"Comparison\n

\n\n---\n\n## Model Configuration\n\n```typescript\n// Mock (zero config, built-in — great for testing)\nconst agent = new Agent({ name: 'test' });\n\n// Ollama (local models)\nconst agent = new Agent({ name: 'local', model: { provider: 'ollama', model: 'llama3' } });\n\n// Google AI Studio (Gemini)\nconst agent = new Agent({\n name: 'gemini',\n model: new OpenAICompatibleAdapter({\n baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai',\n model: 'gemini-2.0-flash',\n apiKey: process.env.GOOGLE_AI_API_KEY,\n }),\n});\n\n// Any OpenAI-compatible endpoint (Together, OpenRouter, Groq, etc.)\nconst agent = new Agent({\n name: 'agent',\n model: new OpenAICompatibleAdapter({ baseURL: '...', model: '...', apiKey: '...' }),\n});\n```\n\n---\n\n## Try It Live\n\n

\n \"Live\n

\n\n**[www.abhi-agent-kit.space](https://www.abhi-agent-kit.space)**\n\n4 pre-built agents with real-time tool execution, persistent memory, and live event streaming. Powered by Gemini 2.0 Flash on Google Cloud Run.\n\n---\n\n## What You Can Build\n\n

\n \"What\n

\n\n- **Travel planner** — destination search + weather + flight/hotel booking + budget calculator\n- **Research assistant** — web search + note-taking + session memory\n- **Customer support** — order lookup + conversation history\n- **Code reviewer** — security analysis + style checking\n- **Data analyst** — SQL queries + chart generation + persistent findings\n- **Personal assistant** — calendar + email + long-term preferences\n\n---\n\n## Read More\n\n- **[Blog Post](https://abhid.substack.com/p/i-built-an-open-source-ai-agent-framework)** — the full story of why and how I built agent-kit\n- **[Documentation](https://abhid1234.github.io/agent-kit/)** — API reference, guides, and examples\n- **[npm](https://www.npmjs.com/package/@avee1234/agent-kit)** — `npm install @avee1234/agent-kit`\n\n## Contributing\n\nBug reports and pull requests welcome. Open an issue to discuss changes before submitting a PR.\n\n## License\n\nMIT\n","readmeFilename":"README.md"}