Is ai-agents-from-scratch open source?

Please check the official repository for license details.

ai-agents-from-scratch

Active·★ 4.4k·Updated 2026-05-31

★ Trending

This repository teaches you to build AI agents from first principles using local LLMs and node-llama-cpp, emphasizing a deep understanding of agent fundamentals before using production frameworks. It guides learners through building agent components like tools, memory, and reasoning patterns, culminating in rebuilding core LangChain and LangGraph concepts.

ai-agents-from-scratch is currently grouped under Memory & Context, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Building AI agents from scratch with local LLMs. and Educational resource for AI agent development fundamentals.. It also shows measurable community traction with 4.4k GitHub stars.

#AI Agents#Node.js#JavaScript#Local LLMs#Frameworks From Scratch#Coding

Features

01Building AI agents from scratch with local LLMs.

02Understanding fundamental LLM concepts and inference pipelines.

03Implementing tool use, memory management, and reasoning patterns (ReAct, AoT).

04Learning to optimize agent performance (batch processing, streaming).

05Rebuilding core abstractions of LangChain and LangGraph frameworks.

Why choose it

+Building AI agents from scratch with local LLMs.

+Educational resource for AI agent development fundamentals.

+The latest recorded update is 2026-05-31, which suggests the project is still actively maintained.

Trade-offs

!Compatibility coverage looks narrow, so it is worth validating your target runtime before committing to it.

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.

Compatibility

node-llama-cpp

Native

Verified via docs

OpenAI API

Supported

Verified via docs

Quick start

$ npm install

Use cases

↳Educational resource for AI agent development fundamentals.

↳Deepening understanding of existing AI agent frameworks like LangChain.

↳Developing custom AI agent solutions from first principles.

How it compares

≈ai-agents-from-scratch sits in the Memory & Context category, so it makes more sense to evaluate it alongside tools like headroom instead of in isolation.

≈If your main need is closer to "Educational resource for AI agent development fundamentals.", that use case is a better lens for comparison than broad feature checklists alone.

≈ai-agents-from-scratch's licensing and community traction are both easier to judge in category context.

Alternatives

headroom★ 60.2k

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.

Features

Why choose it

Trade-offs

Compatibility

Quick start

Use cases

How it compares

Alternatives

Related searches

Comments

Features

Why choose it

Trade-offs

Compatibility

Quick start

Use cases

How it compares

Alternatives

Related searches

Comments