#huggingface

HuggingFace platform bridge for Symfony AI

An imperative command-line-interface for AI workload orchestration

stabbur — the Norwegian storehouse for your models: build a local LLM library, then run, chat and serve it with MCP tools. Source-available, proprietary.

⚛️ AgentKthx - minimal, modular, python stdlib, agentic framework for tool calling AI agents. Runs locally with Ollama, BitNet, TurboQuant, in the cloud with OpenRouter, ZAI, HuggingFace, and Google Gemini. Extensible via a manifest-based plugin system for additional backends and features.

Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.

Use any AI model, locally or in the cloud, while tracking on-device token usage and collecting token telemetry data.

Senparc 全家桶的 AI 扩展包

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

JavaScript/TypeScript implementation of LLMLingua-2 (Experimental)

Per-collection OCR leaderboards using VLM-as-judge

Model-agnostic multi-modality generation server with plugin discovery: OpenAI-compatible TTS, embeddings, and image generation. Drop a Python file in ~/.muse/models/ to add a backend.

Pure-Go LLM tokenizer and tiktoken-compatible token counter for OpenAI BPE, WordPiece, SentencePiece, Gemini, Llama, Mistral, and Hugging Face adapters.

Read huggingface.co as data: every model, dataset, space, user, org, collection and paper as a typed record with an hf:// URI and a knowledge graph of the edges between them

Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.