Reusable prompts for a structured, evidence-first bug bounty hunting workflow
- application-security
- bug-bounty
- bug-bounty-hunting
- cybersecurity
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Run large AI models on your own PC: Qwen3.8-Flash-Next on Strata's engine, and GLM 5.3 Flash, DeepSeek V4 Flash, LFM2.5, Qwen3.6, Ornith 1.5, Gemma 4, Tiel Coder and MiniCPM-V on a second engine written for PolyStrata. One-click install for Windows and Linux, OpenAI/Anthropic API on localhost.
- anthropic-api
- cuda
- gemma
- gguf
A code repository indexing tool to supercharge your LLM experience.
- neovim-plugin
- retrieval-augmented
- embeddings
- rag
TranslatedStartup screen and startup animation plugin for DeepSeek Harness
- dsh
- dsh-plugin
- harness
- plugin
Local inference engine for Qwen3.8-Flash-Next on NVIDIA Blackwell
Blazing fast Apple Silicon inference engine optimized for Qwen & Nemotron. OpenAI + Anthropic API compatible. Built by folks from nace.ai
Agentic Chat Interface directly in Neovim with ACP providers from Claude-Code, Gemini, Codex, OpenCode, and Cursor-agent
- neovim
- neovim-plugin
- neovim-plugin-lua
- neovim-plugins
Better judgment. Better taste. Less ceremony. System instructions and source-aware steering for GPT in Codex.
Run a 105 GB AI model on a Mac that can't hold it. Qwen3.8-Flash-Next 4-bit, streamed from SSD on 16–64 GB Apple Silicon Macs. Fully native Swift, MLX and Metal. Offline, no Python. CLI, Swift library, and Ollama/OpenAI/Anthropic APIs. Works with Claude Code and Codex.
- apple-silicon
- llm
- llm-inference
- local-llm
37 tok/s from Qwen3-Next-80B (48 GB) on a 32 GB laptop, 24 without drafts vs 2.8 for llama.cpp; reading 62 vs 16 tok/s. Faster than llama.cpp on all 13 models compared in Q4_K_M. LLMs bigger than your RAM, pure C, CPU or GPU.
- avx2
- c
- cpu-inference
- gguf
Delicious diagnostic debugging in Neovim 🤤
AI Vim/Neovim code generation plugin (OpenAI, ChatGPT, and more)
A large language model (LLM) plugin for Neovim, provides commands to interact with LLM (like ChatGPT, Copilot, ChatGLM, kimi, deepseek, openrouter and local llms). Support Github models.
TranslatedConnect all the model quotas you can get for free into the same DSH pool: automatic multi-account fault tolerance for WorkBuddy, QR-code login for 13 providers, aggregation of free quotas from 76 providers, a usage dashboard, model routing, a local OpenAI gateway, and automated points collection.
- codebuddy
- dsh-plugin
- failover
- model-provider
TranslatedLet AI see your screen in real time: filter frames by the amount of change, stitch multiple frames into one image, and static screens cost almost no tokens
🧱 Experimental library for building inference engines
Neovim plugin for interacting with LLM's and building editor integrated prompts.
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
- artificial-intelligence
- clip
- pathology
- vision-and-language
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
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
A ChatGPT, Gemini, Claude, and Ollama(offline) plug-in for Embarcadero RAD Studio IDE XE5 to 12.1
- chatgpt
- chatgpt-api
- delphi
- embarcadero
Our lightning-fast inference engine.
C++/CUDA single-GPU inference engine for Qwen3.8 (incl. Qwen3.8-Flash-Next with offloaded experts) on the RTX 5090; grew from NInfer
Neovim edit completion plugin
- nvim
- cursor-prediction
- edit-completion