What LLM providers are supported?
The framework supports OpenAI, Anthropic (Claude), AWS Bedrock (Claude and Titan), and local models via Ollama.
@subeshb1
基本信息
🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama.
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Agenite is a TypeScript framework for building sophisticated AI agents. It offers a modular, type-safe, and flexible architecture for creating, composing, and controlling AI agents with advanced capabilities like tool integration, multi-agent coordination, and step-based execution.
Install core packages (@agenite/agent, @agenite/tool, @agenite/llm) and at least one provider (e.g., @agenite/openai). Then create an Agent instance with a provider, tools, and instructions, and execute it using agent.execute() or iterate with agent.iterate() for streaming control.
The framework supports OpenAI, Anthropic (Claude), AWS Bedrock (Claude and Titan), and local models via Ollama.
Tools are defined using the `Tool` class with a name, description, input schema, and an async `execute` function. Inputs are validated against the schema.
MCP is a standardized protocol for connecting LLMs to data sources (web content, filesystem, databases). Agenite provides an MCP client implementation.
Yes – agents can be nested. A coordinator agent can delegate tasks to specialist agents, each with their own tools and instructions.
Agenite requires Node.js (for npm packages) and TypeScript. Provider packages may need API keys or environment configuration (e.g., AWS credentials for Bedrock).

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