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Flexible, data-driven CRM platform designed for startups and relationship-focused workflows
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
AI-driven sales agents that replace costly CRM platforms
QRev provides AI‑driven sales agents that automate lead handling, outreach, and pipeline management, delivering a customizable, cost‑effective alternative to traditional CRM platforms.
QRev is designed for sales teams and developers who want an AI‑first CRM without the expense and rigidity of traditional solutions. By modeling Salesforce with modern AI agents, it offers role‑based assistance for SDRs, BDRs, account executives, and sales leadership.
The platform centers on a super‑agent (Qai) that delegates tasks to a fleet of digital workers, leveraging Langchain for LLM integration, ChromaDB for vector storage, MongoDB for application data, and optional SQLite/SQLAlchemy for relational AI data. Its TypeScript/NodeJS stack enables rapid customization and extension.
QRev runs as three components—client, app server, and AI server—each installable via npm and standard Node.js tooling. After cloning the repository, configuring environment variables, and provisioning MongoDB, the services can be started locally with npm start. Community Slack and the open source repository provide ongoing support and contribution pathways.
When teams consider QRev, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
AI‑powered lead qualification
Automatically triage inbound leads, routing high‑potential prospects to sales reps for faster pipeline conversion.
Personalized outreach campaign generation
Ingest CSV contact lists and produce tailored email sequences, boosting response rates and engagement.
Role‑specific sales assistance
Provide SDRs and account executives with real‑time guidance, task automation, and performance insights.
Unified workflow integration
Connect QRev with existing tools like Google Workspace to synchronize data and streamline daily sales operations.
The client is built with TypeScript, the backend with Node.js, and the AI server uses Python.
MongoDB stores application data, ChromaDB handles vector embeddings, and SQLite (or any SQLAlchemy‑compatible DB) is used for relational AI data.
Currently QRev is self‑hosted; the community may provide hosted options in the future.
Any model compatible with Langchain can be integrated, giving flexibility to choose OpenAI, Anthropic, Llama, etc.
Fork the repository, submit pull requests, and join the community Slack for discussion and support.
Project at a glance
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