local-first Tools

OpenBot is a desktop application that provides a persistent, local-first workspace for AI agents like Codex, Claude, and Grok. It solves the problem of fragmented, ephemeral AI interactions by offering dedicated workspaces, task queues, file sharing, browser control, and agent-to-agent collaboration—all while keeping your data on your computer. It's designed for developers, teams, and power users who need reliable, private, and collaborative AI assistants integrated into their daily workflow.

Starnet is a local-first desktop application that lets you run and manage real AI agents that perform actual work. It solves the problem of opaque, cloud-dependent AI tools by giving you full control—you bring your own API keys and watch your crew execute tasks directly on your machine. It's built for developers and tinkerers who want a transparent, customizable, and visually engaging interface for their autonomous AI workflows.

Lap is a local-first photo manager designed for large personal libraries. It solves the problem of managing thousands of photos and videos without relying on cloud services, keeping your memories private and on your own storage. It's built for photographers, families, and anyone with extensive local photo collections who values privacy and direct control over their media.

Octop is a self-hosted AI assistant platform that enables teams to deploy and manage multiple AI agents securely on their own infrastructure. It solves the problem of data privacy and fragmented AI tools by providing a centralized, private hub for collaboration. It's ideal for developers, researchers, and organizations that need customizable, secure AI assistance without relying on external cloud services.

PI-Desktop is a local-first AI coding agent that runs on your desktop. It provides a structured, inspectable environment for developers to work with AI assistants, built on a modular architecture of Electron, Rust, and SQLite. It's designed for developers who want a powerful, extensible, and understandable AI coding workspace that respects boundaries and contracts.

Open Science is an AI research workbench that integrates coordinator and specialist agents, Python/R execution, and scientific data connectors into a single desktop workspace. It solves the problem of fragmented research tools by keeping questions, code, execution, and traceable artifacts together in persistent projects for reproducible workflows. It's designed for researchers and scientists on macOS, Windows, and Linux who need a model-agnostic, local-first environment for AI-assisted discovery.

VoiceStudio is an open-source desktop application that provides a fully-local alternative to services like ElevenLabs. It solves the problem of data privacy and vendor lock-in by allowing users to perform professional voice cloning, video dubbing, transcription, and audiobook creation entirely on their own computer. It's designed for content creators, developers, and privacy-conscious users who need powerful AI voice tools without sending their data to the cloud.

Apache Maka (Incubating) is a local-first workspace designed for developing and operating AI agents. It solves the problem of opaque and unaccountable agent execution by recording all model interactions, tool calls, and decisions into an immutable, append-only log for full auditability. It is built for developers and teams who need transparency, control, and a verifiable history of their AI agent's actions and reasoning.

OpenLogi is a native, local-first alternative to Logitech Options+ written in Rust. It solves the problem of vendor software requiring accounts and sending telemetry by allowing you to remap buttons, control DPI, and manage SmartShift directly over the HID++ protocol. It's for Logitech mouse, keyboard, or camera users who value privacy, ownership of their settings, and a lightweight, native application experience.

TencentDB Agent Memory is a centralized memory system for AI agent teams. It solves the problem of fragmented, non-reusable knowledge by converting conversations, documents, and code into four governed, shareable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph). It's designed for teams building and scaling AI agents across different frameworks, enabling consistent knowledge sharing and improved agent capabilities.

Free-stockdb is a local quantitative analysis engine designed for the Chinese A-share market. It solves the problem of slow, expensive, and unreliable access to historical stock data (daily K, minute K, ETF) by providing offline caching, incremental updates, and automatic adjustment for splits/dividends. It's built for quantitative traders, researchers, and developers who need fast, reliable, and private batch data queries, backtesting, and technical indicator calculations.