Micro-agent provides a minimalist framework for creating AI agents in JavaScript or TypeScript. It supports integrating custom tools, managing conversational and long-term memory, and orchestrating chain-of-thought reasoning for dynamic decision-making. Developers can configure planners, tool invocation strategies, and prompt templates to tailor agent behavior. Its unopinionated design ensures easy embedding into web apps, Node.js backends, or serverless functions, accelerating LLM agent development.
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micro-agent
Micro-agent provides a minimalist framework for creating AI agents in JavaScript or TypeScript. It supports integrating custom tools, managing conversational and long-term memory, and orchestrating chain-of-thought reasoning for dynamic decision-making. Developers can configure planners, tool invocation strategies, and prompt templates to tailor agent behavior. Its unopinionated design ensures easy embedding into web apps, Node.js backends, or serverless functions, accelerating LLM agent development.
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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.
Who will use micro-agent?
- Frontend Developers
- Backend Developers
- AI Research Engineers
- Chatbot Developers
- Technical Architects
How to use the micro-agent?
- Step1: Install micro-agent via npm or yarn (e.g., npm install @builder.io/micro-agent).
- Step2: Import core modules such as Agent, Tool, Planner, and Memory from micro-agent.
- Step3: Define and register custom tools for API calls or internal actions.
- Step4: Configure conversational and long-term memory stores as needed.
- Step5: Set up a planner with chain-of-thought templates and execution strategies.
- Step6: Initialize an Agent instance with tools, memory stores, and planner.
- Step7: Invoke agent.run(userInput) to process queries and receive responses.
- Step8: Embed the agent in your web app, Node.js service, or serverless function.
Platform
- Web
micro-agent's Core Features & Benefits
The Core Features
- Customizable agent abstraction
- Tool integration for API/actions
- Short-term conversational memory
- Long-term persistent memory
- Chain-of-thought planning
- Prompt templating
- Flexible execution strategies
- TypeScript support
- Unopinionated architecture
The Benefits
- Simplified LLM agent development
- Modular and extensible design
- Persistent context across sessions
- Improved decision-making
- Easy integration into existing apps
- Reduced boilerplate code
micro-agent's Main Use Cases & Applications
- Conversational chatbots
- Virtual customer support agents
- Autonomous data retrieval bots
- Internal knowledge assistants
- Task automation workflows
- Interactive FAQs
FAQs of micro-agent
micro-agent Company Information
micro-agent Reviews
5/5
micro-agent's Main Competitors and alternatives?
LangChain
ReAct Framework
Rasa
Botpress
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