Open-source, self-hosted AI video generator — completely free. Text to multi-scene video with narration, subtitles, and digital anchor via Web UI, powered by Agnes AI.
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Updated
Jul 15, 2026 - Python
Open-source, self-hosted AI video generator — completely free. Text to multi-scene video with narration, subtitles, and digital anchor via Web UI, powered by Agnes AI.
2026 Guide to Self-Hosted Open Source AI Video Generation
Best Open Source AI Video Generator 2026: Text to Multi-Scene Movies with Narration & Subtitles
Python implements three clustering algorithms: kmeans, dbscan and agnes.
Agnes — a self-hosted AI harness for your organization: governed data access, skills marketplace, corporate memory, and agent workspaces
CS5228_Assignment1_a_Clustering including K-Means, DBSCAN, AGNES
Skill for Agnes AI image and video generation workflows.
A collection of Machine Learning and Data Mining labs for the ML course taught at INSAT.
Template repository for deploying Agnes (AI Data Analyst) per customer
A web app designed to conduct both offline and online clustering experiments using a dataset of archaeological sites in Vienna.
data mining class project for DNA sequences's clustering. Released on 2019.
A short project about customer segmentation using K-means and AGNES on a marketing dataset
MCP server for Agnes AI - Free text-to-image & text-to-video generation (Agnes Image 2.0/2.1 Flash + Video V2.0)
Benchmark LLM reasoning agents with reproducible system-level evaluation, sandboxed code execution, tool use, and full trajectory logging
A comparison on different clustering algorithms using different datasets with performance measurements is shown here.
Local-first novel-to-comic generator — free, no GPU, pluggable providers.
Public sample marketplace for Agnes demo instances (synthetic example plugins)
Customer segmentation is essential for enhancing marketing efficiency and satisfaction. By categorizing customers based on demographics, interests, and purchasing behavior, companies tailor messages to engage each segment effectively. Our app utilizes advanced clustering algos like KMeans, DBSCAN, and AGNES to extract insights from data
Implementation of AGNES algorithm
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