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Tags: LLM tools
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TranslatedBullFlow — Open-source enterprise RAG solution: knowledge base → automated marketing content → omnichannel publishing. The entire knowledge base pipeline runs on local open-source models, with no paid models needed; AI Agent creates image-text posts / images / videos, with one-click publishing to 17 platforms including Douyin, Xiaohongshu, WeChat Official Accounts, LinkedIn, and YouTube. Commercial-grade, multi-tenant, billing & admin built in. MIT

OpenAI (and DeepSeek, Azure OpenAI, YandexGPT, Ollama, GigaChat, Qwen) API wrapper for Delphi. Use ChatGPT, DALL-E, Whisper and other products.

Fast, exact inference for StartLux-Decision models on NVIDIA GPUs: the released GGUF files on int8 and 4-bit tensor cores, behind the /v1/systemone API, with up to 5.3× lower latency than vLLM in FP8 and bit-identical answers.

  • calibration
  • cuda
  • cuda-graphs
  • decision-making

TranslatedAn enterprise-grade desktop AI Agent workbench that lets skills, knowledge, and tasks work together in one place.

  • agent
  • agent-desktop
  • harness
  • harness-ai

C++/CUDA single-GPU inference engine for Qwen3.8 (incl. Qwen3.8-Flash-Next with offloaded experts) on the RTX 5090; grew from NInfer

TranslatedGuide to buying and renewing ChatGPT Pro100 (10x, formerly 5x) / Pro200 (20x) in China: Pro100's usage within the Work/Codex plan is doubled with the price unchanged; your own account, Alipay, self-service or manual processing, and a 30-day subscription guarantee. Includes Chinese, English, and Russian.

TranslatedAccount management center for new-api / sub2api relay stations: balance, API Key, usage, rate multipliers, model price comparison | https://nvcenter.cc

  • api-key-management
  • api-relay
  • claude
  • dashboard

Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.