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automation

Athena-Public: Automate AI Agents

Get persistent memory and autonomy for LLMs with Athena-Public. For founders automating AI workflows.
intermediate⏱ 30 minutes💵 Free + LLM API costs
539 stars72 forksPythonQuality 8/10Updated 7/20/2026100% free · open source
What it is

Create custom AI agents for automating AI workflows using Python.

What you can make with it

Automations like: adding new Stripe customers to a Notion database and sending them a welcome email via email services.

How it helps

Athena-Public offers persistence and autonomy for Large Language Models (LLMs), allowing for stateful AI workflows that adapt over time. This helps developers save time and focus on higher-level decisions.

Real use case example

"A founder wants to automate a customer onboarding process using their LLM. They use Athena-Public to create a custom AI agent that retrieves new Stripe customers, extracts their information, and adds it to a Notion database. The agent then sends a welcome email to the customer via an email service, saving the founder time and effort."

If you're new

Use Athena-Public to get started with AI automation and develop hands-on skills.

If you're senior

Reach for Athena-Public when you need to integrate persistent memory and autonomy in your AI workflows, such as stateful data analysis or continuous training.

Common confusion cleared up

Athena-Public might be confused with other AI agents or frameworks that provide persistence, but it is specifically designed for Large Language Models (LLMs).

Best inside these AI tools
Claude DesktopClaude Code
Pairs with
Stripe webhookNotion databaseEmail services
Why we list it on WorkflowStacks: As a free and open-source tool, Athena-Public provides a cost-effective solution for developers and founders to automate AI workflows.
What it does

Athena-Public provides persistent memory and autonomy for large language models (LLMs), allowing founders to automate AI workflows with stateful agents.

Install / run
git clone https://github.com/winstonkoh87/Athena-Public.git
When to use it
  • •When you need to automate complex workflows that require LLMs to retain context and memory across multiple interactions
  • •When you want to create autonomous AI agents that can operate independently with their own state and decision-making
  • •When you need to integrate multiple AI models and services into a single, coherent workflow with persistent memory
Quick start
  1. 1 Clone the Athena-Public repository and navigate to the project directory: cd Athena-Public
  2. 2Create a new Athena agent by running the command: python scripts/create_agent.py
  3. 3Configure the agent's properties and behaviors by editing the agent_config.json file
  4. 4Start the Athena server by running the command: python scripts/start_athena.py
  5. 5Interact with the agent by sending requests to the Athena API, using tools like curl or a Python client library
Ready-to-paste prompt
python scripts/create_agent.py --name my_agent --model transformer --memory 1024
Heads up: Athena-Public requires a Linux-based environment to run, and may not work as expected on Windows or macOS without proper virtualization or containerization
Saves to your device

Topics

ai
ai-agents
ai-assistant
automation
chatgpt
developer-tools
framework
gemini
google-antigravity
graphrag
knowledge-management
llm
local-first
memory
open-source
prompt-engineering
python
rag
semantic-search
vector-search
What's inside — free to inspect
No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

20
top-level files
15
folders
10.7M
repo size
MIT
license
Key files
AGENTS.md
README.md
File tree
.agent/
.claude/
.context/
.devcontainer/
.framework/
.github/
Athena-Public.wiki/
community/
docs/
examples/
scripts/
src/
supabase/
tests/
tools/
.athena_root
.env.example
.gitignore
.nojekyll
.syncignore
AGENTS.md
athena.yaml
CLAUDE.md
CODE_OF_CONDUCT.md
Quick Actions
Details
Creator
winstonkoh87
Language
Python
Category
automation
Published
12/18/2025

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