All Open Source Apps

A local desktop hub that unifies SSH, Docker, Kubernetes, VMs, and remote desktops into one interface — no agents, no remote setup.

A Microsoft-built training framework that optimizes AI agents with reinforcement learning, automatic prompt optimization, or supervised fine-tuning — with near-zero code changes to your existing agent, in any framework.

Give your LLM agents on-the-job training—ART lets you apply GRPO reinforcement learning to any multi-step agentic workflow with minimal code changes.

Compress everything your AI agent reads — tool outputs, logs, RAG chunks, and files — before it reaches the LLM, achieving 60–95% fewer tokens with the same answers.

An open-source context database that gives AI agents a unified filesystem for memory, resources, and skills with hierarchical tiered retrieval.

Local-first AI memory with verbatim storage, pluggable backends, and 96.6% retrieval recall on LongMemEval — no API key required.

Mesh LLM pools GPUs and memory across every machine you own into one OpenAI-compatible API, so agents tap distributed compute instead of a single GPU box or a metered cloud bill.

Drop your files and search them instantly — no vector DB, no indexing pipeline, just raw data queried by a self-evolving intelligence layer.

Automate SSL certificate lifecycle across any CA, 24+ DNS providers, and every major secret store — with a REST API, web dashboard, and built-in MCP server for AI-driven ops.

Self-hosted database backup manager with a web UI for scheduling, encrypting, and restoring MySQL, PostgreSQL, MongoDB, SQL Server, SQLite, Firebird, and Redis to S3, SFTP, Samba, or local storage.

Define AI agent workflows as code graphs, route tasks across any LLM, and intervene only where it matters.

Open-source Webhooks-as-a-Service: deliver events to your users with auto-retry, signed payloads, and a real-time subscriber dashboard — all without building the infrastructure yourself.

Transform messy, unstructured documents into persistent, navigable memory that AI agents can actually use.

A self-hosted, OpenAI-compatible LLM gateway that puts one endpoint in front of 40+ providers, with virtual API keys, per-user budgets enforced before spend, and full usage tracking.

A self-hosted Rust PaaS that replaces Vercel, Sentry, PostHog, Pingdom, Resend, and E2B with one binary — plus 440+ CLI operations agents like Claude Code can drive directly.

An all-in-one open-source training suite for finetuning diffusion models—FLUX, SDXL, Wan video, and audio—on consumer GPU hardware via CLI or web UI.

A keyboard-driven terminal dashboard for managing cron jobs on local machines and remote servers via SSH.

A universal swarm intelligence engine that spawns thousands of autonomous AI agents to simulate and predict how real-world events unfold across social, financial, and political domains.

An open source inference engine that profiles your hardware, recommends the best local models, and tunes them for the coding agent you already use.

A pretrained decoder-only foundation model by Google Research that delivers zero-shot time series forecasting with calibrated quantile prediction intervals — no training required.

SOTA open-source dual-autoregressive text-to-speech model with rapid voice cloning, inline emotion tags, and real-time streaming inference across 80+ languages.

Self-hosted, open-source email API that automates DNS, manages SMTP delivery, and provides deep observability — replacing SES, Mailgun, and SendGrid with infrastructure you fully own.

Turn AI-written code into real apps — an open-source, self-hostable backend with Database, Auth, Storage, Memory, Functions, Assets, AI Gateway, and cron built for AI coding agents.

Collaborate on high-quality AI training data with a self-hosted annotation platform built for LLMs, NLP, and multimodal models.