AI Infra2023
Provides a minimal, Zig-written headless browser tailored for AI agents and automation — runs JavaScript, supports key Web APIs, exposes the Chrome DevTools Protocol for Puppeteer/Playwright, and targets low memory usage and fast startup for large-scale scraping and agent workflows.
AI Infra2023
Runs large language models entirely in C/C++ with no external dependencies, using 1.5-to-8-bit integer quantization and CPU+GPU hybrid inference to fit models larger than available VRAM. Backs Ollama, LM Studio, and most local-inference tooling.
AI Train2023
Streamlines post-training and fine-tuning for large language and multimodal models with a single YAML-driven pipeline. Supports LoRA/QLoRA, full fine-tuning, preference tuning, RL methods, multi-GPU/FSDP/DeepSpeed, and many model backends (Hugging Face, local checkpoints).
MLOps2023
Declarative CLI and library to evaluate and red-team LLM apps: run test cases against prompts and models, compare providers side-by-side, and scan for jailbreaks, prompt injection, and data leaks — with CI/CD and pull-request code scanning built in.
AI Infra2023
Probes LLMs for failure modes — prompt injection, jailbreaks, data leakage, toxicity, hallucination — the way nmap scans a network. Ships 20+ attack probes that run against Hugging Face, OpenAI, Bedrock, Cohere, or any REST endpoint.
AI Agent2023
Orchestrates LLM-based roles (product managers, architects, engineers) to turn a one-line requirement into user stories, APIs and a starter code repo. SOP-driven multi-agent workflows with CLI and library APIs for prototype generation and agentic development.
AI Client2023
Lets LLMs run code and control a user’s computer via natural language (Python, JavaScript, Shell, etc.) with interactive approval. Supports local or hosted models, terminal and Colab/Codespaces integrations, streaming output, and configurable safety/auto-run options.
MLOps2023
Open-source AI coding assistant for VS Code and JetBrains that bundles autocomplete, chat, inline edit, and an agent mode behind one config, letting each capability use any model provider rather than a single locked-in vendor.
AI Agent2023
Gives AI agents persistent long-term memory: ingests documents in any format and continuously builds a self-hosted knowledge graph fusing vector embeddings, graph reasoning, and ontology grounding, so agents recall and reason over connected facts.
AI API2023
Detects file content types with a compact deep‑learning model that runs in milliseconds on a single CPU. Trained on ~100M samples across 200+ content types; offered as a Rust CLI plus Python, JS, and Go bindings for large‑scale security and file‑routing use.
AI Video2023
Automates uploading and scheduled publishing of videos to major Chinese and international social platforms (Douyin, Bilibili, Xiaohongshu, Kuaishou, WeChat Video Channel, TikTok, etc.). Offers a CLI, platform-specific uploader modules, headless/browser automation and agent-skill integration for scripted cross-posting workflows.
AI Client2024
Self-hostable “bookmark everything” app for saving links, notes, images and PDFs with automatic fetching of previews, full-text search, OCR, and LLM-based automatic tagging and summarization (supports local models via ollama). Targets users who want AI-assisted organization in a self-hosted stack.