ToolAI.io · GitHub 채널
GitHub의 전체 ToolAI 오픈 소스 AI 프로젝트 디렉터리를 주제, 언어 및 라이선스별로 살펴보세요.
공개 리포지토리 데이터
anthropics/claude-cookbooks
Anthropic’s collection of Claude development examples covers classification, summarization, retrieval augmentation, tool use, image understanding, and evaluation. It is suitable for learning from specific tasks and adapting the code.
DietrichGebert/ponytail
Reusable guidance that encourages coding agents to simplify implementations and avoid unnecessary code.
pathwaycom/llm-app
Application templates for RAG, search and AI pipelines using live data sources.
microsoft/graphrag
A graph-based text indexing and question-answering research project, now largely in maintenance mode.
onyx-dot-app/onyx
A self-hostable team AI platform combining knowledge connectors, retrieval, agents, and research workflows.
labring/FastGPT
A visual knowledge-workflow platform with document ingestion, hybrid retrieval, reranking, and application publishing.
stackitcloud/rag-template
A template for building AI chatbots and document management systems using Retrieval-Augmented Generation (RAG), vector search, and FastAPI, designed for deployment on Kubernetes.
infino-ai/infino
Infino is a fast retrieval engine that executes SQL, full-text search, and vector search over a single copy of data stored natively as Parquet on object storage.
xerj-org/xerj
XERJ is a search engine for AI agents that automatically indexes code, documents, logs, and PDFs, enabling agents to query data rather than reading entire files into their context windows. It is Elasticsearch-compatible, allowing existing clients and tooling to work unchanged.
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors
QwenLM/Qwen-Agent
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc
mtrnix/metronix-memory
Self-hosted memory infrastructure for AI agents featuring MCP-native integration, hybrid RAG, a temporal knowledge graph, and an ontology layer, designed for local-model friendliness and durable, agent-scoped context.
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