All Open Source Apps

Your terminal coding companion — wire up any LLM with LSP intelligence, MCP extensibility, and a skills system that learns your workflow.

The painless self-hosted Git service that runs on anything from a Raspberry Pi to a $5 cloud droplet, delivering GitHub-like workflows as a single Go binary.

Compose, extend, and observe every backend service in real time using three primitives: Workers, Functions, and Triggers.

The programmable open source core ledger for fintech — build money-moving applications with atomic multi-posting transactions, account-based modeling, and Numscript, a built-in DSL for financial logic.

Run LLM-generated Python code safely inside your agent—no containers, no CPython, no compromise—with sub-microsecond startup.

The fastest BI tool for humans and agents — define metrics, models, and dashboards as code and query them instantly on ClickHouse or DuckDB.

Embedded KV store built on object storage with zero replication cost

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

A local desktop workspace that gives every coding task its own agent, Git branch, and worktree, then tracks tasks, pull requests, CI, and reviews for 27 coding agents on one live Kanban board.

A distributed stream processing engine written in Rust that lets you write SQL to run stateful, real-time computations over data streams with subsecond results.

A zero-configuration terminal text editor with familiar keybindings, full mouse support, LSP-powered IDE features, and a built-in orchestrator for running multiple coding agents in parallel worktrees.

Open-source metering and billing engine for AI, agentic, and DevTool monetization — ingest usage events in real time and turn them into accurate invoices automatically.

Stateful actors as a primitive for AI agents, real-time collaboration, and durable execution — with in-memory state, WebSockets, queues, and scheduling built in.

Turn messy real-world dataframes into machine learning features — no manual wrangling required.

Run AI workloads at scale with a Pythonic serverless runtime that handles GPU inference, background jobs, and sandboxes with zero infrastructure overhead.

An open-source CLI that packages machine learning models into standard, production-ready Docker containers — no Dockerfile wrangling, no CUDA version hell.

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.

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.

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

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.

The official Lark/Feishu CLI tool built for both humans and AI agents, delivering 200+ commands and 26 AI agent skills across 18 business domains from messaging and calendar to docs, sheets, and approvals.

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

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