ochestration

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Command Your AI Agent Empire from the CEO Desk — A local-first AI agent office simulator that orchestrates CLI, OAuth, and API-connected agents (Claude Code, Codex CLI, Gemini CLI, OpenCode, and more) as a virtual autonomous company.

Sovereign Local AI Workspace & LLM Runtime Manager. Easily Run GGUF, MLX, OpenAI, Gemini, etc. Under One Unified Interface ✨

Headless CMS - Built for Agents. Governed by Humans.

ShopNexus is a microservices e-commerce platform powered by Restate workflows

Agentic IDE | Sendbird opinionated

Codex - Claude ochestrator

A command-line research assistant that combines local LLM conversation with a small multi-agent research pipeline. The app chats normally, and when the user asks to research a topic it searches the web, summarizes findings, checks the summary, and formats citations into a report.

Bria is a Rust-based multi-pipeline job orchestrator. It ingests jobs from files, HTTP/webhooks, AMQP, cron, PostgreSQL, or SQLite, runs local, Docker, or WebAssembly tasks; and emits results to files, webhooks, AMQP, databases, or live streams.

HighFlow

Manage all your 3x-ui panels from one dashboard. Multi-tenant, live hardware stats, remote Xray restart, AES-256-GCM vault, Brevo downtime alerts. React + Node.

A fast, lightweight desktop application for exploring, monitoring, and managing Kubernetes clusters from a single intuitive interface.

MedGemma Impact Challenge (Kaggle Hackathon) : AI-assisted Medical audit system for breast cancer screening compliance.

🚪 A generic orchestration framework for routing one standard request format across multiple external providers.

Play a turn-based strategy RPG in your terminal by building armies, managing your empire, and conquering maps with AI narration and diplomacy.

Ansible-based infrastructure to deploy and operate multi-party computation controller and nodes in production.

Local, auditable multi-agent system with Human review for automotive failure investigation

A PDF-processing pipeline using self-parsing and OCR to extract and structure document data. The system parallelizes multiple low-cost LLM runs with slightly reformulated prompts to create diverse intermediate outputs before forwarding consolidated results to premium models like Claude, reducing cost and repetitive model behavior.