Top DEEP GitHub Repositories & Tools (2026)

Open-source inference server and production cluster for all the models your agent needs.

Daily-updated list of free AI models (free LLM APIs), ranked by quality with live status. Plus one OpenAI-compatible endpoint that routes to the best one.

Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Cross-platform, customizable ML solutions for live and streaming media.

Persistent project intelligence and memory plugin for DSH: architecture analysis, cross-session context, TODOs, and optional hybrid retrieval

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Train and serve LLMs at extreme speed and massive throughput.

🧠 The memory that dreams — cross-session memory for DeepSeek Harness. Offline & private, auto-consolidates in its sleep (autoDream), visualized in a memory panel.

HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and more through one API, with sessions, streaming, files, cancellation, and failure handling. Implements the Unified Harness Protocol (UHP), an open standard. Your keys, your infrastructure.

Tongyi Deep Research, the Leading Open-source Deep Research Agent

Open-source, local-first social media research agent for Instagram, TikTok, and LinkedIn. Jev routes read-only steps; socai CLI captures cited browser evidence.

An Open Source Machine Learning Framework for Everyone

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

A visual multi-agent desktop for Codex: live tasks, shared projects, isolated Missions, and OpenCodex models on Windows.

Visualizer for neural network, deep learning and machine learning models

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

DeepSeek Harness (DSH) backup & restore plugin — export, import, migrate and sync your complete DSH configuration, plugins, MCP servers, skills and workspace. One-click migration to another machine.

Provider balances, subscription quotas, and token-usage analytics for the DeepSeek Harness Web GUI (dsh web).