multi-agent

Build Composable AI with alphora

Name: Build Composable AI with alphora
Author: opencmit

alphora helps founders build AI agents, suitable for multi-agent systems. It's a production-ready framework in Python.

From the repo · “A Production-Ready Framework for Building Composable AI Agents”

348 stars33 forksPythonGuide quality 9/10 · reviewed Jul 7Updated 7/7/2026100% free · open source

What it does

Alphora helps founders build AI agents for multi-agent systems, providing a production-ready framework in Python to compose and deploy AI agents

When to use it

•You need to build a system with multiple interacting AI agents
•You want to create a scalable and composable AI architecture
•You're working on a project that requires decentralized decision-making and coordination between multiple AI agents

Ready-to-paste prompt

python -m alphora run --config examples/basic/config.json

Heads up: Make sure you have Python 3.8 or higher installed, as Alphora is not compatible with earlier versions of Python

Saves to your device

Use with Claude

New

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

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/alphora && curl -fsSL https://workflowstacks.com/api/skills/alphora/claude-skill -o ~/.claude/skills/alphora/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 Build Composable AI with alphora works

Codeflow

Free to inspect

Build Composable AI with alphora is a large Python project (~43k lines across 211 code files). Setup is light: installs like a normal app. Reading the code is optional. Last commit 4 months ago, Apache-2.0 license, no tests found.

Size

Large codebase

~43k lines · 211 code files · ~6 h to skim

Setup

One-command install

Installs like a normal app. Reading the code is optional.

Runs on

Python

No API keys detected

Python 86%HTML 8%JavaScript 5%CSS 1%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
pyproject.toml
Dependencies and the commands it exposes
3
alphora/__init__.py
Inside alphora/ — the main logic begins here
4
examples/.DS_Store
A worked example — copy this to get going

What's in each folder

alphora/Core code — the actual logic187 files

tutorials/Examples you can copy35 files

examples/Examples you can copy20 files

docs/Documentation16 files

asset/Images & static assets11 files

READMENo tests foundDocumentedNo CIExamples includedApache-2.0 licenseUpdated 4 mo ago

Use with Claude

New

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

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/alphora && curl -fsSL https://workflowstacks.com/api/skills/alphora/claude-skill -o ~/.claude/skills/alphora/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.

Quick Actions

Details

Creator

opencmit

Language

Python

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