Offline, privacy-first English grammar checker implemented in Rust that lints documents in milliseconds and uses a fraction of LanguageTool's memory. Can run as a local binary, embed via WebAssembly, and offers integrations for editors and plugins.
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.
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.
Asynchronous, reverse-engineered Python API for programmatic access to the Google Gemini web app — supports persistent cookie auth, streaming text, image/video/audio generation, deep-research workflows, model selection, and a CLI for automation and chatbots.
Orchestrates low-code multi-agent teams that plan, research, code and deliver results to Telegram, Discord, and WhatsApp. Includes handoffs, guardrails, memory and RAG, and integrates 100+ LLM providers via MCP for production-ready agent workflows.
An MCP server giving Claude and other AI assistants direct control of the local terminal and file system: run shell commands, manage long-running processes, and search and diff-edit files across the whole OS, not just one project folder.
Turns any website into clean markdown, structured JSON, or screenshots through a single API — handling JavaScript rendering, rotating proxies, rate limits, and full-site crawling so LLM apps get web data without running scraping infrastructure.
Provides local inference, fine-tuning, and a server/CLI for vision–language and omni (image/audio/video) models via MLX. Supports multi-image chat, audio/video inputs, activation quantization (CUDA), TurboQuant KV cache, and LoRA/QLoRA fine-tuning for on-device workflows.
BYOK desktop app working as a universal MCP client: run any MCP server against OpenAI, Anthropic, Gemini, Grok, Ollama and 10+ providers. Also offers prompt-anywhere, AI text commands, local-file RAG, media generation and voice input.
Streamlines the full lifecycle of foundation models — data prep, fine-tuning (SFT/LoRA/QLoRA/GRPO), evaluation, and deployment — with ready-to-run recipes, multi-engine inference support, and cloud/CLI workflows for both laptop experiments and large-scale runs.
Continuously records your screen and audio 24/7 to a local, searchable timeline you can query in natural language. Stores screenshots with accessibility data in SQLite, and a plugin system runs scheduled AI agents on what it captures.
Connects multiple Macs and Linux machines into one cluster to run models too large for any single machine. Auto-discovers peers, shards a model across them via tensor parallelism, and exposes OpenAI-, Claude-, and Ollama-compatible APIs.