Local AI

Category: Local AI under Artificial Intelligence

MIT-core autonomous AI software engineer that resolves whole coding tasks in a sandboxed runtime you host yourself, though SSO, RBAC, and audit logs sit behind a commercial enterprise tier.

Local-first AI voice studio powered by Qwen3-TTS and six more engines. Clones voices and synthesizes speech fully on your machine, with no per-character metering, though your own GPU does the work.

AGPL-3.0 personal cloud OS: a sandboxed K3s app platform for self-hosting files, services, and local AI on hardware you own. Trade-offs are a dedicated-hardware footprint and AGPL network copyleft.

Foundation-governed AI agent for coding and workflow automation. Runs locally via desktop, CLI, or API, is model-agnostic through MCP, and carries no per-seat lock-in.

AGPL-3.0 self-hosted AI workspace: local-model chat, agents, research, and email in one stack with zero telemetry. Trade-offs are single-maintainer governance and AGPL network-copyleft embedding risk.

AGPLv3-or-commercial image toolkit: 50+ tools plus local AI for background removal, upscaling, and OCR in one Docker container. Images never leave your hardware. SaaS embedding needs a paid license.

Local-first AI desktop assistant that keeps your "second brain" in an Obsidian-style Markdown vault and on-device SQLite. Optional local Ollama models, no cloud account. GPL-3.0, single-founder beta.

GPL-3.0 AI-first note-taking app: a self-hosted second brain with RAG-powered recall on your own hardware, unlike cloud-bound Mem.ai. Built for personal knowledge management, not team collaboration.

BSD-3-Clause self-hosted LLM interface. Unlimited users, full offline capability, no seat pricing, without ChatGPT's model training exposure.

The open-source low-code tool for developers to build customized LLM orchestration flows and AI Agents using JavaScript/Node.js.

MIT-licensed AI coding agent, model-agnostic across 75+ providers. Runs in terminal, desktop, or IDE without Anthropic-only lock-in.

Open-source toolkit for parsing complex documents (PDF, DOCX, HTML) into structured JSON/Markdown, purpose-built for Generative AI and RAG ingestion pipelines.

Local AI meeting assistant with zero cloud audio transit and full transcript ownership, for executives and legal teams where discussions cannot leave the device.