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Orq

Orq is an autonomous engineering intelligence layer that understands what teams ship and turns repository activity into structured knowledge and real-world execution.

Code Video Cerebral Valley

Core trick

Parses @mentions in chat rooms to route intents to multi-agent workflows that read GitHub commits and write release notes.

Tags

productivityagentsdev tools

Description

Orq is an autonomous engineering intelligence layer that understands what teams ship and turns repository activity into structured knowledge and real-world execution. It analyzes code changes, generates release notes, coordinates workflows across GitHub, Slack, and Docs, and can research technical candidates by evaluating their public work to assess role fit. Orq replaces manual reporting and fragmented context with coordinated, multi-agent execution embedded directly into modern engineering workflows.
SeanAminov/Orq★ 00 forksPythonAGPL-3.0Created Feb 27, 2026 · last push Jul 27, 2026

README excerpt

<p align="center">
  <img src="assets/orq.png" alt="Orq" width="120" />
</p>

<h1 align="center">Orq</h1>

<p align="center">
  Agentic AI workspace for collaborative teams.<br/>
  Built for the <strong>Llama Lounge Hackathon</strong> at Snowflake.
</p>

<p align="center">
  <a href="#features">Features</a> &middot;
  <a href="#tech-stack">Tech Stack</a> &middot;
  <a href="#getting-started">Getting Started</a> &middot;
  <a href="#usage">Usage</a> &middot;
  <a href="#architecture">Architecture</a>
</p>

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## Overview

Orq is a chat-based platform where teams trigger multi-agent workflows, app integrations, and data queries using `@mentions`. Type `@orq` in any room and the system detects your intent, routes to the right service, and tracks all activity and costs automatically.

## Features

- **Multi-Agent Crews** -- CrewAI pipelines for candidate research (5 agents), commit digests (3 agents), and general tasks
- **App Integrations** -- OAuth-connected Gmail, Google Docs, Drive, Calendar, and GitHub via Composio
- **Custom Workflows** -- Chain multiple steps (chat, actions, crews, data, payments) into reusable automations with `@triggers`
- **Collaborative Rooms** -- Shared workspaces with real-time messaging, persistent memory, and per-room budget tracking
- **Enterprise NLP** -- Snowflake Cortex for sentiment analysis, translation, summarization, and SQL queries
- **AI-Native Payments** -- Skyfire micropayments for paid services (company research, AI text cleaning) wi

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