Amon Hen

"From the Seat of Seeing, no moment remains hidden."

A fast, lightweight CLI and Python library for natural language video moment retrieval on local CPU. Runs entirely on CPU without discrete GPUs, background daemons, or cloud dependencies.

Key Highlights

100% CPU Execution: Powered by Apple's MobileCLIP2 architecture and ONNX Runtime.
Low Footprint: Hybrid FP32-vision + INT8-quantized text pipeline (approx. 105 MB RAM).
Zero Infrastructure: Embedded vector database via SQLite and sqlite-vec (single .db file).
High Throughput: 3-gate adaptive motion sampler achieving 4.8x to 18.5x realtime indexing speed.
Temporal Grouping: Merges consecutive matching frames into start-end timestamp intervals.

Installation

# Recommended via uv
uv tool install amon-hen

# Or via pipx
pipx install amon-hen

# Or standard pip
pip install amon-hen

Quickstart

1. Interactive Terminal UI

Run amon-hen without arguments to launch the interactive prompt:

amon-hen

2. Index Videos

# Index a video or entire folder with adaptive motion sampling
amon-hen index /path/to/videos/ --sampler adaptive

3. Search Moments

# Search using natural language
amon-hen search "a person holding an umbrella"

Python API

from amonhen.store import Store
from amonhen.model_registry import get_model
from amonhen.encode import TextEncoder
from amonhen.pipeline import search

# 1. Connect to index
store = Store("index.db", embed_dim=512)

# 2. Load CPU-optimized text encoder
model = get_model("mobileclip2-s0").download()
text_encoder = TextEncoder(model.text_model_path, model.tokenizer_path)

# 3. Retrieve matching video segments
results = search("red sports car turning", store=store, text_encoder=text_encoder)
for seg in results:
    print(
        f"{seg.video_path}: {seg.start_ms / 1000.0:.1f}s - {seg.end_ms / 1000.0:.1f}s (score: {seg.score:.3f})"
    )

Resources & Links

GitHub Repository: https://github.com/flxhrdyn/amon-hen
CLI User Manual: https://github.com/flxhrdyn/amon-hen/blob/main/docs/CLI_GUIDE.md
Python API Documentation: https://github.com/flxhrdyn/amon-hen/blob/main/docs/PYTHON_API.md
Project Roadmap: https://github.com/flxhrdyn/amon-hen/blob/main/docs/ROADMAP.md
Hugging Face Model Hub: https://huggingface.co/felixhrdyn/mobileclip2-s0-onnx
License: MIT License

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

amon_hen-0.1.1.tar.gz (6.8 MB view details)

Uploaded Aug 28, 2026 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

amon_hen-0.1.1-py3-none-any.whl (26.4 kB view details)

Uploaded Aug 28, 2026 Python 3

File details

Details for the file amon_hen-0.1.1.tar.gz.

File metadata

Download URL: amon_hen-0.1.1.tar.gz
Upload date: Aug 28, 2026
Size: 6.8 MB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for amon_hen-0.1.1.tar.gz
Algorithm	Hash digest
SHA256	`b371de372cf78c5545dac13468357f2e50d24c2b83d6aba7705162bd15d77da1`
MD5	`3816bad385e9af460d36f7e7a217283d`
BLAKE2b-256	`4cc08f7a1fea885b30a9e7473a0c3a3d9023b5d17546c961c944e9b9ce58ef95`

See more details on using hashes here.

Provenance

The following attestation bundles were made for amon_hen-0.1.1.tar.gz:

Publisher: release.yml on flxhrdyn/amon-hen

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: amon_hen-0.1.1.tar.gz
- Subject digest: b371de372cf78c5545dac13468357f2e50d24c2b83d6aba7705162bd15d77da1
- Sigstore transparency entry: 2621381656
- Sigstore integration time: Aug 28, 2026
Source repository:
- Permalink: flxhrdyn/amon-hen@57194a3afdf31f6a119716c0e9faab34af4e3ae8
- Branch / Tag: refs/tags/v0.1.1
- Owner: https://github.com/flxhrdyn
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@57194a3afdf31f6a119716c0e9faab34af4e3ae8
- Trigger Event: push