Ai-Agents-From-Scratch

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ai-agents-from-scratch is an AI Agents & Automation tool that teaches users to build AI agents locally from first principles. It focuses on understanding function calling, memory, and ReAct patterns using local LLMs.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is ai-agents-from-scratch?

ai-agents-from-scratch is a comprehensive educational resource designed to demystify AI agents by guiding users through building them from scratch. This repository emphasizes a hands-on approach, utilizing local LLMs and node-llama-cpp to provide a deep understanding of how agents function without relying on black-box frameworks. It covers fundamental concepts such as basic LLM interaction, system prompts, reasoning, parallel processing, streaming, function calling (tools), persistent memory, and advanced patterns like ReAct and Atom of Thought (AoT) planning. The resource includes detailed code examples, step-by-step explanations, and conceptual deep dives, making it ideal for developers who want to grasp the underlying mechanisms before engaging with production frameworks.

Best used for

Ideal for developers and students who need to learn the fundamental concepts of AI agents, build them from scratch using local LLMs, and understand advanced patterns like ReAct. Especially valuable for those seeking a deep, hands-on understanding before utilizing complex frameworks.

Common actions

learn AI agents

build AI agents

understand LLMs

implement function calling

explore ReAct patterns

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Capabilities

Key features

Local LLM integration
Function calling implementation
Memory management
ReAct pattern
Atom of Thought planning
Error handling
Streaming responses

Target Audience

developerstudent

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the prerequisites for running the examples in ai-agents-from-scratch?

To run the examples, you will need Node.js 18+ installed and at least 8GB of RAM (16GB recommended). You also need to download the necessary LLM models and place them in the specified './models/' folder, as detailed in the DOWNLOAD.md file.

Does ai-agents-from-scratch use proprietary LLMs like OpenAI's GPT-4?

While the primary focus is on local LLMs, there is an optional section (openai-intro/) that demonstrates how to call hosted LLMs like GPT-4. This section helps users understand the differences in inference endpoints, latency, cost, and data privacy compared to local models.

How does ai-agents-from-scratch help in understanding agent architectures?

The resource provides a structured learning path, progressing from basic LLM interaction to complex ReAct agents. Each example includes code, step-by-step explanations, and conceptual deep dives, along with diagrams and a companion website to visualize the learning journey and architectural patterns.

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