Graph-Native Infrastructure for Context and Accountable AI Systems

The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.

Self-hosted Lovable/v0 alternative. Realtime database & storage included.

Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.

A hive mind communication platform

Fast Rust library for PDF inspection, classification, and text extraction. Intelligently detects scanned vs text-based PDFs to enable smart routing decisions.

Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook

A working constitutional government for AI agents on Claude Code — law compiled to agent charters, worktree-isolated executors, adversarial refuters, append-only governance ledger

The design language that makes your AI harness better at design.

The most RAM efficient harness

LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

Publish your roadmap inside your app and allow users to vote for upcoming features

Export iMessage data + run iMessage Diagnostics

Multi functional app to find duplicates, empty folders, similar images etc.

A content centered site build tool, build on top of Sveltekit.

Voice-to-text dictation app with local (Nvidia Parakeet/Whisper) and cloud models (BYOK). Privacy-first and available cross-platform.

Self-hosted AI workspace.

Personal AI, On Personal Devices

A rubber duck pilot flies across your screen to remind you about your calls. macOS menu bar app for meeting notifications.

Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local

Your Personal AI super intelligence. A brain that builds a local-first memory of your life, a fantastic orchestrator of agent fleets and workflows, and a deep researcher.

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

OmX - Oh My codeX: Your codex is not alone. Add hooks, agent teams, HUDs, and so much more.

Dataset and benchmark for RAG on company internal documents.

Open source Loom alternative. Beautiful, shareable screen recordings.

Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching,…

🐹 Clean, uninstall, analyze, optimize, and monitor your Mac from the terminal.

🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman

LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar