Tinyagent Ts
Description
TinyAgent brings the core ideas of the original Python library into a lean, zero-dependency TypeScript package. It turns plain functions into LLM-driven tools and lets you chain them together through a simple ReAct-style loop.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
tinyAgent-TS — Modern TypeScript Agent Framework
[](https://www.npmjs.com/package/tinyagent-ts) [](LICENSE)
**tinyAgent-TS** is a modern TypeScript framework for building AI agents with a clean, modular architecture. It provides a unified agent system with pluggable tools, multiple execution modes, and seamless LLM integration.
Table of Contents
- Key Features
- Project Structure
- Quick Start
- Core Concepts
- Execution Modes
- Tool System
- Examples
- Python Integration
- API Reference
- Migration Guide
- License
Key Features
- Unified Agent Architecture: Single configurable
Agentclass for all use cases - Modular Design: Clean separation between models, agents, tools, and execution
- Multiple Execution Modes: Simple (direct LLM) and ReAct (reasoning + acting)
- Pluggable Tool System: Easy to add custom tools with Zod schema validation
- Type-Safe: Full TypeScript support with comprehensive type definitions
- Default Tools: File operations, web search, Python execution, and more
- Flexible LLM Support: Works with OpenRouter, OpenAI, Anthropic, and more
Project Structure
The framework follows a clean modular architecture:
tinyagent-ts/
├── src/
│ ├── model/ # LLM communication layer
│ │ ├── types.ts # Model interfaces
│ │ ├── model-manager.ts # Unified LLM communication
│ │ ├── openrouter-provider.ts # OpenRouter implementation
│ │ └── index.ts # Exports
│ ├── agent/ # Agent orchestration layer
│ │ ├── types.ts # Agent interfaces
│ │ ├── unified-age
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