agenite

Overview

Agenite is a comprehensive TypeScript framework designed for building sophisticated AI agents with first-class support for tools, streaming, and multi-agent architectures. It provides a modular, type-safe approach to agent development with standardized MCP client implementation for connecting to various data sources. The framework supports multiple LLM providers including OpenAI, Anthropic, AWS Bedrock, and Ollama, ensuring flexibility for different deployment scenarios.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• calculator({ expression: string }) => Promise<{ isError: boolean, data: string }>

  Perform basic math operations

  Try:What is 1234 * 5678?Try:Calculate 25 divided by 5, then multiply by 3

Note: The README mentions tools as a concept and provides an example tool called 'calculator', but doesn't document the complete set of available MCP tools. The example tool is included as it demonstrates the tool structure.

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Installation

npm install @agenite/agent @agenite/tool @agenite/llm @agenite/mcp
npm install @agenite/openai # or other provider

{
  "mcpServers": {
    "agenite": {
      "command": "npx",
      "args": ["@agenite/mcp"],
      "env": {}
    }
  }
}

FAQ

What LLM providers does Agenite support?

Agenite supports OpenAI, Anthropic, AWS Bedrock, and Ollama. It has a provider-agnostic architecture that makes it easy to add new providers.

How does the MCP integration work in Agenite?

Agenite provides a standardized MCP client implementation that allows agents to connect to various data sources and tools through the Model Context Protocol.

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