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ai-agents-from-scratch vs Ashfox
ai-agents-from-scratch logo
ai-agents-from-scratch
★ 4.1k
vs
Ashfox logo
Ashfox
★ 15

ai-agents-from-scratch vs Ashfox

ai-agents-from-scratch: 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.; Ashfox: Ashfox is a Blockbench MCP bridge plugin that provides a low-level, deterministic API surface for 3D modeling, texturing, and animation. It allows external clients to interact with Blockbench functionalities programmatically via a JSON-RPC over HTTP interface.

01

TL;DR

ai-agents-from-scratch logoChoose ai-agents-from-scratch if…

Educational resource for AI agent development fundamentals.

Ashfox logoChoose Ashfox if…

Programmatic creation and manipulation of 3D models (bones, cubes) within Blockbench.

02

Side-by-Side Comparison

Field
ai-agents-from-scratch logoai-agents-from-scratch
Ashfox logoAshfox
Category
Memory & Context
Vision / Multimodal
Stars
★ 4.1k
★ 15
License
—
MIT
Updated
1mo ago
3mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Node.js, JavaScript
Blockbench Plugin, MCP Bridge, 3D Modeling
03

Features

ai-agents-from-scratch logoai-agents-from-scratch
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.
Ashfox logoAshfox
01Low-level deterministic modeling and animation via specific API calls.
02Internal UV management and automatic UV atlas generation upon geometry changes.
03Preview output as MCP content blocks (base64 PNG) with structured metadata.
04Revision guard (ifRevision) for safe concurrent edits and project state management.
04

Use Cases

ai-agents-from-scratch logoai-agents-from-scratch
↳Educational resource for AI agent development fundamentals.
↳Deepening understanding of existing AI agent frameworks like LangChain.
↳Developing custom AI agent solutions from first principles.
Ashfox logoAshfox
↳Programmatic creation and manipulation of 3D models (bones, cubes) within Blockbench.
↳Automated texture assignment and face painting for models.
↳Scripted animation clip creation and frame-by-frame pose setting.
↳Integrating external tools or clients with Blockbench via a JSON-RPC over HTTP interface.
↳Automated generation and export of Geckolib, glTF, or native codec assets.
05

Best For

ai-agents-from-scratch logoai-agents-from-scratch
Trending
Ashfox logoAshfox
Hidden GemAPI IntegrationDev Tooling
FAQ

FAQ

What is the difference between ai-agents-from-scratch and Ashfox?
Both ai-agents-from-scratch and Ashfox are in the Memory & Context category. ai-agents-from-scratch has 4.1k stars, while Ashfox has 15 stars.
Which is better, ai-agents-from-scratch or Ashfox?
The best choice depends on your use case. Choose ai-agents-from-scratch if Educational resource for AI agent development fundamentals., and Ashfox if Programmatic creation and manipulation of 3D models (bones, cubes) within Blockbench..
Is ai-agents-from-scratch free or open source?
Yes, ai-agents-from-scratch is open source on GitHub.
Is Ashfox free or open source?
Yes, Ashfox is open source on GitHub (MIT).
→

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