forkhub 0.2.1

Monitor GitHub fork constellations with AI-powered analysis

ForkHub

Monitor GitHub fork constellations with AI-powered analysis.

ForkHub watches the forks around your GitHub repositories, uses a Claude AI agent to classify what changed and why, and surfaces interesting divergences through digest notifications. Think of it as a satellite view of all the gardens growing from your code — whether the gardeners sent a letter or not.

Quickstart

Prerequisites

• Python 3.12+
• uv package manager
• A GitHub personal access token (for API access)
• An Anthropic API key (for AI-powered analysis)

Install

# Install as a CLI tool (recommended)
uv tool install forkhub

# Or with pip
pip install forkhub

For development:

git clone https://github.com/joshuaoliphant/forkhub.git
cd forkhub
uv sync

Configure

The easiest way is to create a .env file in your project directory:

cp env.example .env
# Edit .env with your tokens

ForkHub automatically loads .env files at startup. You can also export environment variables directly:

export GITHUB_TOKEN="ghp_..."
export ANTHROPIC_API_KEY="sk-ant-..."

Or use a TOML config file:

mkdir -p ~/.config/forkhub
cp forkhub.toml.example ~/.config/forkhub/forkhub.toml

Authentication options for Anthropic:

• ANTHROPIC_API_KEY — standard API key
• CLAUDE_ACCESS_TOKEN — OAuth token from claude set-token (used by Claude Code)

Either works. If both are set, the API key takes precedence.

First run

# Discover and track your repos
uv run forkhub init --user your-github-username

# See what's tracked
uv run forkhub repos

# Sync fork data from GitHub
uv run forkhub sync

# View forks for a specific repo
uv run forkhub forks owner/repo

# Generate a digest of interesting changes
uv run forkhub digest

CLI Commands

Command	Description
forkhub init --user <username>	Discover and track your GitHub repos
forkhub track <owner> <repo>	Track a repository you don't own
forkhub untrack <owner> <repo>	Stop tracking a repository
forkhub exclude <owner> <repo>	Exclude a repo from tracking
forkhub include <owner> <repo>	Re-include an excluded repo
forkhub repos	List tracked repositories
forkhub forks <owner> <repo>	List forks of a tracked repo
forkhub inspect <owner> <repo>	Detailed view of a single fork
forkhub clusters <owner> <repo>	Show signal clusters (similar changes across forks)
forkhub sync	Sync fork data from GitHub
forkhub digest	Generate and deliver a change digest
forkhub config show	Show current configuration

Library Usage

ForkHub is a library first. The CLI is a thin consumer.

import asyncio
from forkhub import ForkHub

async def main():
    async with ForkHub() as hub:
        # Discover your repos
        repos = await hub.init("your-username")

        # Sync fork data
        result = await hub.sync()
        print(f"Synced {result.repos_synced} repos, {result.total_changed_forks} changed forks")

        # Get forks for a repo
        forks = await hub.get_forks("owner", "repo", active_only=True)

        # Generate and deliver a digest
        digest = await hub.generate_digest()
        await hub.deliver_digest(digest)

asyncio.run(main())

Custom providers

All extension points use Python Protocol classes, so you can inject your own implementations:

from forkhub import ForkHub

hub = ForkHub(
    git_provider=my_custom_provider,        # implements GitProvider protocol
    notification_backends=[my_slack_backend], # implements NotificationBackend protocol
    embedding_provider=my_embeddings,        # implements EmbeddingProvider protocol
)

How It Works

Tracking modes

Mode	Description
owned	Your repos, auto-discovered via init. Forks are monitored.
watched	Repos you don't own but want to observe via track.
upstream	Repos you've forked. Tracks upstream changes you might want.

Signals

When ForkHub syncs, a Claude AI agent analyzes what changed in each fork and produces signals — classified changes with a significance score (1-10):

Category	Description
feature	New functionality added
fix	Bug fix not yet in upstream
refactor	Structural/architectural change
config	Configuration or deployment change
dependency	Dependency swap or version change
removal	Feature or code removed
adaptation	Platform or environment adaptation
release	A new tagged release

Clusters

When multiple forks independently make similar changes, ForkHub detects these as clusters using vector similarity of signal embeddings. Clusters reveal community-wide trends — if three forks all swap the same dependency, that's a signal worth knowing about.

Data flow

forkhub sync   ->  Discover forks (GitHub API)
               ->  Compare HEAD SHAs (skip unchanged)
               ->  AI agent classifies changes -> store signals
               ->  Update clusters via embedding similarity

forkhub digest ->  Query recent signals
               ->  AI agent composes readable summary
               ->  Deliver via notification backends

Configuration

ForkHub looks for forkhub.toml in ~/.config/forkhub/ or the current directory. Environment variables override TOML values.

Setting	Env Var	Default
GitHub token	GITHUB_TOKEN	—
Anthropic API key	ANTHROPIC_API_KEY	—
OAuth token	CLAUDE_ACCESS_TOKEN	—
Analysis budget	—	$0.50 per sync
Analysis model	—	sonnet
Digest model	—	haiku
Sync interval	—	6h
Digest frequency	—	weekly
Min significance	—	5
DB path	—	~/.local/share/forkhub/forkhub.db

ForkHub loads .env files automatically. See env.example for all supported variables.

See forkhub.toml.example for all options.

Architecture

ForkHub is a library first — the CLI is a thin consumer. The core library (src/forkhub/) exposes the ForkHub class as its public API.

Extension points (Protocol-based, swappable at runtime):

• GitProvider — fetches repo/fork data (default: GitHub via githubkit)
• NotificationBackend — delivers digests (default: Rich console output)
• EmbeddingProvider — text embeddings for clustering (default: local sentence-transformers)

AI analysis uses the Claude Agent SDK with a coordinator + subagent pattern:

• Coordinator agent gets tools to explore forks (list, summarize, diff)
• diff-analyst subagent deep-dives individual forks
• digest-writer subagent composes human-readable summaries

Storage: SQLite + sqlite-vec for vector similarity search.

Development

# Install with dev dependencies
uv sync

# Run tests (450 tests)
uv run pytest

# Lint and format
uv run ruff check src/ tests/
uv run ruff format src/ tests/

# Type check
uv run mypy src/forkhub/

License

MIT