Top MODAL GitHub Repositories & Tools (2026)

Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience

A native .NET LLM inference engine and agent runtime for GGUF models. TensorSharp provides a console application, a web-based chatbot interface, iPhone App, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/iOS/Linux with full GPU capability

A framework for efficient model inference with omni-modality models

Open-source BYOK AI agent for Android. Full phone control, native Shell & Python 3, with Skills and MCP support. Built with Material 3 Expressive. Works via Shizuku (root optional). Bring any provider: OpenRouter, Ollma, and more.

Declarative AI pipelines in one YAML file. Tokens, audio chunks, and video frames flow between isolated components. Compose 100+ components for models, agents, speech, vision, and live broadcast. Run local models, cloud APIs, or both. Inspired by docker-compose.

The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.

The backend agents build with - Multimodal database, orchestration, and serving in one file

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

An extensible, state-of-the-art framework for columnar compression, and the fastest FOSS columnar file format. Formerly at @spiraldb, now an Incubation Stage project at LFAI&Data, part of the Linux Foundation.

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.

Eyes for text-only DeepSeek Harness agents: built-in free vision chain (no key) + pixel-level vision tools (Q&A, grounding, crop, pixel diff, colors, OCR, SVG trace, cutout, screenshots). One-command install, no Python, image turns work like ordinary tool-calling turns.

An open-weight 11B model series for long-form and real-time video understanding

Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.

A magic modal you can await from anywhere: React Native, Expo, and the web. 🦄

An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

Open-source data management for multimodal AI. Query, trace, and govern with a lineage-native, format-agnostic lakehouse for agents and teams. Supports biological formats and registries - by the creators of Scanpy. 🍊YC S22

Real-time multimodal desktop agent evolving toward a persistent AI OS interface (0.15 α).