ToolAI.io · Chaîne GitHub
Parcourez le répertoire complet de projets AI open source de ToolAI sur GitHub, organisé par sujet, langage et licence.
Données du dépôt public
microsoft/markitdown
Python tool for converting files and office documents to Markdown
openai/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
deepseek-ai/DeepSeek-V3
An open-source project focused on large language model research and inference.
deepseek-ai/DeepSeek-R1
An open-source project focused on reasoning model research and evaluation.
anthropics/skills
Public repository for Agent Skills
anthropics/claude-code
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands
nousresearch/hermes-agent
A self-improving AI agent built by Nous Research that features a closed learning loop, multi-platform messaging integration, and flexible model provider switching. It is designed to run on low-cost VPS, GPU clusters, or serverless infrastructure.
huggingface/transformers
A model-definition framework for state-of-the-art machine learning models across text, vision, audio, and multimodal domains, supporting both inference and training.
firecrawl/firecrawl
An open-source web context API to search, scrape, and interact with the web at scale, converting web data into clean Markdown or structured JSON for AI agents and LLMs.
langchain-ai/langchain
An open-source Python framework for building LLM-powered applications and agents through interoperable, chainable components and third-party integrations.
graphify-labs/graphify
Graphify is a local-first CLI tool and AI assistant skill that parses codebases, docs, SQL schemas, and PDFs into a queryable knowledge graph using deterministic AST parsing, eliminating the need for vector stores or embeddings.
infiniflow/ragflow
RAGFlow is an open-source Retrieval-Augmented Generation engine that combines document ingestion, retrieval, grounded citations, configurable language and embedding models, and agent capabilities to provide context for LLM applications.
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