Atomic Agents
A lightweight JavaScript library for building AI agents that run directly in the browser using WebLLM.
At a Glance
Pricing
Free and open source JavaScript library
Engagement
Available On
About Atomic Agents
Atomic Agents is a lightweight JavaScript library designed for building AI agents that operate directly in the browser. It leverages WebLLM to run large language models locally, enabling developers to create intelligent agents without server-side infrastructure. The library provides a simple, modular approach to agent development with built-in support for tools, memory, and multi-agent orchestration.
Key Features:
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Browser-Based Execution - Runs AI agents entirely in the browser using WebLLM, eliminating the need for backend servers and API calls while maintaining user privacy.
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Tool Integration - Supports custom tools that agents can use to interact with external systems, perform calculations, or access data sources during conversations.
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Memory Management - Includes built-in memory capabilities allowing agents to maintain context across interactions and remember previous conversations.
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Multi-Agent Support - Enables creation of multiple agents that can work together, with orchestration capabilities for complex workflows.
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Lightweight Architecture - Minimal dependencies and small footprint make it easy to integrate into existing web applications without significant overhead.
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Modular Design - Components can be used independently or combined, giving developers flexibility in how they structure their agent applications.
Getting Started:
To use Atomic Agents, include the library in your web project and initialize an agent with your desired configuration. The library handles model loading through WebLLM and provides a straightforward API for defining agent behaviors, tools, and memory systems. Developers can create agents with just a few lines of code, specifying the model to use and any custom tools or prompts needed for their use case.

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Pricing
Free Plan Available
Free and open source JavaScript library
- Full library access
- Browser-based execution
- Tool integration
- Memory management
- Multi-agent support
Capabilities
Key Features
- Browser-based AI agent execution
- WebLLM integration for local LLM inference
- Custom tool support
- Memory management
- Multi-agent orchestration
- Lightweight and modular architecture
- No server-side infrastructure required