All Open Source Apps

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.

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

Secure, fast, and extensible sandbox runtime for AI agents with multi-language SDKs and Docker/Kubernetes runtimes.

The safe, private runtime that lets autonomous AI agents operate in sandboxed environments governed by declarative YAML policies — blocking data exfiltration, credential leaks, and unauthorized network activity before they happen.

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

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.

Self-hosted error tracking that accepts Sentry SDKs out of the box, so you keep your instrumentation and drop the monthly bill.

The dbt-native data observability CLI that turns your existing dbt tests and metadata into anomaly detection, lineage graphs, and Slack/Teams alerts — no separate platform required.

Open source Ruby on Rails platform for building developer communities with articles, discussions, and social profiles—the same software that powers dev.to.

A production-ready 2D/3D game engine written in Rust with a built-in scene editor, physics, and hot-reloading game scripts

A free, open source procedural 2D design tool that unifies vector, raster, motion graphics, and generative art in a single node-based nondestructive workflow.

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.

Self-hosted, single-tenant group chat with real-time rooms, direct messages, Web Push, and file sharing — no subscriptions, no external services.

Open-source feedback management and roadmap tool that lets product teams collect, prioritize, and respond to user input — with AI-powered summarization and full self-hosting control.

Visual ETL that compiles to Polars — build pipelines on a canvas, export as standalone Python, and run anywhere without platform lock-in.

A terminal-native agent multiplexer that runs Claude, Codex, Gemini, and other coding agents side by side in real, persistent panes you can detach from and reattach to from anywhere.

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.

Open-source time-series database built for real-time ingest, fast SQL queries, and embedded Python automation — powered by Apache Arrow and Parquet.

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

Self-hosted photo library with AI-powered face recognition, semantic search, and automatic event albums — no cloud required.

A fast, lightweight, open-source document parser that extracts spatial text, bounding boxes, and Markdown from PDFs and Office files — entirely on your machine.

AI-powered file type detection that identifies 200+ content types with ~99% accuracy in milliseconds using a compact deep learning model.

A lightweight, stealthy headless browser written in Rust — drop-in compatible with Puppeteer and Playwright, built for AI agents and web scraping at scale.

Redash lets anyone connect to 35+ SQL and NoSQL data sources, write a query in the browser, and turn the result into a shared dashboard — no separate BI suite required.