All Open Source Apps

Computer-vision powered Python framework for building RPA bots that click, type, and read any desktop, web, or terminal UI without needing an API.

A fully local web research assistant that iteratively searches, summarizes, and refines markdown reports using any Ollama or LMStudio model—no cloud or API keys required.

One file manager for all your devices and clouds — powered by a Virtual Distributed File System built in Rust.

Build autonomous and human-in-the-loop multi-agent AI systems with a layered, event-driven Python and .NET framework pioneered at Microsoft Research.

A Rust-built CLI agent harness for Claude AI with persistent sessions, MCP tool integration, plugin hooks, and multi-provider support — designed to run autonomous coding workflows without human babysitting.

A 24/7 autonomous AI company: 14 expert-persona agents running on Claude Code or Codex CLI that research, decide, code, deploy, and market real products with a single markdown file as their only memory.

An Apple-Silicon-native LoRA fine-tuning tool for Gemma on text, image, and audio data — with a wizard CLI, live browser-based training visualizer, and streaming from GCS/BigQuery for datasets too large for local disk.

A local-first, open-source Markdown knowledge workspace for macOS — plain files, personal wiki and Second Brain workflows, AI-assisted diffs, and encrypted sync, built as an Obsidian alternative.

An open-source "Agent Operating System" built in Rust — a single binary providing a kernel, memory, skills, extensions, and multi-channel runtime for running AI agents, with 1,700+ tests and zero clippy warnings.

One dashboard to monitor, trigger, and cancel CI/CD pipelines across GitHub, GitLab, Jenkins, Tekton, Buildkite, ArgoCD, and Bitbucket — desktop, Docker, or iOS.

Run ML training and LLM inference natively inside PostgreSQL with GPU acceleration — no data movement required.

Baidu's open-source OCR model for "one-shot, long-horizon parsing" — published with an arXiv paper, a Hugging Face model release, and vLLM inference support, aimed at document understanding beyond typical page-by-page OCR limits.

An open-source build system that turns written specs and architecture into working code — an LLM generates code under tight constraints, task by task with narrow context windows, instead of attempting an entire codebase at once.

A temporal code knowledge graph with blast-radius impact scoring, semantic symbol search, and git-history-aware dependency analysis for AI-assisted development — zero required runtime dependencies, SQLite-backed.

An AI-powered personal news aggregator that filters multi-source feeds through LLMs and delivers curated, noise-free summaries to your Notion workspace.

Self-hosted, open-source Vercel alternative that deploys Python, Node.js, PHP, and any Docker-compatible app from a Git push, with zero-downtime rollouts and real-time logs.

All-in-one self-hostable platform for hybrid search, RAG, recommendations, and analytics built on Rust and Qdrant.

A local-first desktop workspace for managing AI agents in an enterprise-style workflow — agent directory, Kanban task tracking, workspace chat, and a full runtime/audit log of agent actions and tool approvals.

Train a locally hosted AI twin on your own memories—then connect it to the world through a decentralized identity network.

Free open-source AI image upscaler reaching 13K resolution using Stable Diffusion, ControlNet, and Tiled Diffusion — a self-hostable alternative to Magnific.

Give an AI agent a real LLM training setup and let it experiment autonomously overnight — you wake up to a log of experiments and (hopefully) a better model.

Build internal tools and admin panels faster with AI-generated Python code, fully self-hosted and local-first.

A production kit that turns AI-generated character motion into reviewable 256x256 sprite sheets — frame extraction, background cleanup, strip packing, browser-based inspection, and approval promotion.

A local-first AI memory sidecar that extracts entities, builds a persistent knowledge graph, and injects ranked context into any LLM pipeline — no cloud required.