Annuaire de skills

Découvrez des skills réutilisables pour les AI agents.

Recherchez de vrais skills GitHub par tâche et vérifiez Stars, confiance, audit, catégorie et chemin d’installation avant de les utiliser.

Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.

Résultats de recherche: multimodal

Annuaire en anglais

Run multimodal agents that operate desktop interfaces

37K
Stars
77/100
Confiance
Catégorie: automationAudit

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

162K
Stars
87/100
Confiance
Catégorie: ml-automationAudit

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

26K
Stars
87/100
Confiance
Catégorie: dataAudit

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

11K
Stars
85/100
Confiance
Catégorie: rag-knowledgeAudit

AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding

9.7K
Stars
86/100
Confiance
Catégorie: ml-automationAudit

SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

9.4K
Stars
86/100
Confiance
Catégorie: rag-knowledgeAudit

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

9.3K
Stars
79/100
Confiance
Catégorie: ml-automationAudit

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

9.2K
Stars
83/100
Confiance
Catégorie: rag-knowledgeAudit

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..

6.7K
Stars
86/100
Confiance
Catégorie: ml-automationAudit

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

5.6K
Stars
86/100
Confiance
Catégorie: ml-automationAudit

One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.

4.0K
Stars
85/100
Confiance
Catégorie: rag-knowledgeAudit

ALwrity - AI-first Digital Marketing Platform. AI Content Strategy and Planning, Multimodal content generation, Publishing, Analytics, AI SEO, Connect & Manage Social Accounts. Marketing OS - WIP

1.1K
Stars
78/100
Confiance
Catégorie: growth-marketingAudit