Comprehensive JavaScript library Tools for Every Need

Get access to JavaScript library solutions that address multiple requirements. One-stop resources for streamlined workflows.

JavaScript library

  • Llamator is an open-source JavaScript framework that builds modular autonomous AI agents with memory, tools, and dynamic prompts.
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    What is Llamator?
    Llamator is an open-source JavaScript library that enables developers to build autonomous AI agents by combining memory modules, tool integrations, and dynamic prompt templates in a unified pipeline. It orchestrates planning, action execution, and reflection loops to handle multi-step tasks, supports multiple LLM providers, and allows custom tool definitions for API calls or data processing. With Llamator, you can rapidly prototype chatbots, personal assistants, and automated workflows within web or Node.js applications, leveraging a modular architecture for easy extension and testing.
  • A JavaScript AI assistant library that analyzes web pages, summarizes content, answers research queries, extracts insights, and generates citations.
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    What is Manus JS?
    Manus JS is a client-side JavaScript library that embeds an intelligent research assistant into any web page. It scans and understands HTML content, then uses AI to generate summaries of articles, answer specific questions with references, extract named entities, and produce citation lists in multiple formats. Developers can configure custom prompts, data sources, and UI components to match branding. Manus JS works offline on cached content and connects to AI APIs for live research, making it suitable for academic portfolios, news aggregation sites, or knowledge base platforms seeking to empower users with instant insights.
  • Micro-agent is a lightweight JavaScript library enabling developers to build customizable LLM-based agents with tools, memory, and chain-of-thought planning.
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    What is micro-agent?
    Micro-agent is a lightweight, unopinionated JavaScript library designed to simplify the creation of sophisticated AI agents using large language models. It exposes core abstractions such as agents, tools, planners, and memory stores, allowing developers to assemble custom conversational flows. Agents can invoke external APIs or internal utilities as tools, enabling dynamic data retrieval and action execution. The library supports both short-term conversational memory and long-term persistent memory to maintain context across sessions. Planners orchestrate chain-of-thought processes, breaking down complex tasks into tool calls or language model queries. With configurable prompt templates and execution strategies, micro-agent adapts seamlessly to frontend web applications, Node.js services, and edge environments, providing a flexible foundation for chatbots, virtual assistants, or autonomous decision-making systems.
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