All Open Source Apps

Build, test, and deploy AI agents and RAG workflows visually with native API and MCP server export.

The batteries-included Python agent harness — planning, sub-agents, filesystem, shell, memory, and skills bundled in, built on LangGraph.

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

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.

A YC-backed, open-source knowledge graph skill for AI coding assistants — type /graphify and it maps your entire project (code, docs, PDFs, images, videos) into a queryable graph instead of grepping through files.

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.

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.

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

A tier-adaptive 16-step deep research pipeline for Claude Code that produces adversarially-audited reports with full source provenance, backed by a persistent, searchable vault.

Real-time NVIDIA GPU monitoring dashboard — self-hosted, scale from 1 to 100+ GPUs with sub-second metrics and no cloud dependency.

An MCP server that plugs AI agents into 85+ real-time crypto and finance news feeds, complete with AI impact scores, trading signals, and live WebSocket updates.

A local, multi-provider AI coding agent with a real desktop and web UI — bring your own Anthropic, OpenAI, Gemini, Bedrock, or local Ollama keys and let it read, edit, and run code in your own project folder.

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.

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.