pguso/ai-agents-from-scratch resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4552 stars · 669 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An educational repository teaching how to build AI agents from first principles using local LLMs and node-llama-cpp in JavaScript. It provides a progressive series of runnable examples covering LLM basics, system prompts, function calling, memory, and ReAct patterns without frameworks.

Use cases

• learn how ai agents work under the hood
• build an ai agent without frameworks
• understand function calling with local llms
• implement the react agent pattern from scratch
• run llm agents locally with node-llama-cpp
• tutorial on agent memory and tool use
• understand agent architectures before using langchain

When to choose

• you want deep conceptual understanding of agent internals rather than a production framework
• you prefer learning by running and modifying small code examples
• you want to use local models for privacy or cost reasons
• you are a JavaScript/Node.js developer new to AI agents

When to avoid

• you need a production-ready agent framework with batteries included
• you want hosted LLM integrations and managed infrastructure
• you need Python tooling (though a companion Python repo exists)
• you lack the hardware to run local LLMs (8GB+ RAM required)

Facets

learning-resource · maturity active

agent-framework llm-inference prompt-engineering developer-tools artificial-intelligence large-language-models tutorials education cross-platform local-llm node-llama-cpp react-pattern function-calling hands-on-tutorial no-framework ai-agents nodejs

Member repositories

For agents

markdown · JSON · MCP: product_card(name="pguso/ai-agents-from-scratch")