workflowstacks
ai-agent

Rapid LLM Research with simply

Get fast iteration on autoregressive models with simply, a minimal JAX codebase.
568 stars65 forksGoGuide quality 9/10Updated 9/2/2026100% free · open source
What it does

Simply allows startup founders to quickly experiment with and train autoregressive models like large language models using a minimal JAX codebase.

When to use it
  • •You need to test novel architectures for autoregressive models without writing extensive code
  • •Your startup requires fast iteration on model training for language tasks
  • •You want to leverage the scalability of JAX for your machine learning research
Ready-to-paste prompt
python train.py --config config.py --model my_language_model
Heads up: Make sure you have JAX installed and a compatible version of Python, as Simply relies on these dependencies to function correctly
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/simply && curl -fsSL https://workflowstacks.com/api/skills/simply/claude-skill -o ~/.claude/skills/simply/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Rapid LLM Research with simply works
Codeflow
Free to inspect

Rapid LLM Research with simply is a very large Python project (~106k lines across 430 code files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size
Very large codebase
~106k lines · 430 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Python
No API keys detected
Python 45%Go 43%Svelte 9%TypeScript 3%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    simply/main.py
    Where the program starts running
  4. 4
    pyproject.toml
    Dependencies and the commands it exposes
  5. 5
    amplio/internal/cli/cli.go
    Inside amplio/internal/ — the main logic begins here
What's in each folder
amplio/internal/Core code — the actual logic246 files
simply/Core code — the actual logic118 files
amplio/frontend/Frontend / UI76 files
amplio/cmd/Command-line entry points22 files
amplio/docs/Documentation5 files
docs/Documentation2 files
amplio/bridges/Folder2 files
scripts/Helper scripts2 files
READMEHas testsDocumentedCI checksApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
google-deepmind
Language
Go
Category
ai-agent
Published
3/13/2025

Are you the creator of this tool? Claim your listing → and earn 85% of every sale.

Related skills

More ai-agent tools founders pair with this one.

ai-agent★ 276,806
Track GitHub Stars with 996.ICU
Get a popular GitHub star counter for your startup, ideal.
ai-agent★ 264,191
Superpowers
An agentic skills framework & software development methodology that works.
ai-agent★ 244,424
Linux: Open Source Kernel
Get the Linux kernel source tree for custom development, ideal for startup founders in need of a flexible OS foundation
ai-agent★ 210,750
Vue
This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core
ai-agent★ 204,069
Improve Code with andrej-karpathy-skills
Get better code behavior with andrej-karpathy-skills, 165k+ GitHub stars, for founders using LLMs.
ai-agent★ 197,010
FreeDomain: Free Website Domain
Get a free domain with FreeDomain.