ToolAI.io · Kanal GitHub
Temukan proyek AI sumber terbuka yang baru ditambahkan di GitHub, lengkap dengan informasi repositori, catatan penyiapan, lisensi, dan sumber daya terkait.
Data repositori publik
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.
taichuy/1flowbase
An open-source AI gateway that allows local agent clients to publish fusion-style multi-model workflows as OpenAI and Claude-compatible virtual models, providing full observability into traces, tokens, latency, and costs.
sno-ai/llmix
A production LLM call layer for AI agents and tools that wraps existing provider SDKs with config-driven model presets, caching, resilience patterns, and key rotation across Python, TypeScript, and Rust.
askimo-ai/askimo
A native desktop AI client for chat, local RAG, multi-step AI workflows (Plans), and agent skills, supporting multiple cloud and local LLM providers while keeping user files strictly on the machine.
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.
QwenLM/Qwen3
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud
QwenLM/Qwen3-Coder
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team
deepseek-ai/DeepSeek-Coder
DeepSeek Coder: Let the Code Write Itself
NVIDIA/TensorRT-LLM
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way
NVIDIA/garak
the LLM vulnerability scanner
openai/evals
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks
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