OpenCloser — Open Source AI SDR & AI Sales Platform

📸 Screenshots

Dashboard	Pipeline Kanban	War Room (Live AI Call)
KPI dashboard with pipeline analytics	Kanban CRM with AI execution tracking	Live AI cold call with sentiment & coaching

AI Persona Builder	Lead Hunter	Call Intelligence
Voice engine architect with emotion matrix	AI lead generation with ICP targeting	Call analytics with outcome tracking

Lead Detail	Sales Coach	Settings
360° lead view with timeline & notes	Objection sparring with 3 difficulty levels	Voice engine, phone line & API key config

⚡ What is OpenCloser?

OpenCloser is an open-source AI sales development platform that runs entirely on your desktop. It gives you an autonomous AI sales team: a strategist to build your ICP, a researcher to hunt leads, a voice caller to dial prospects, a coach to train your rebuttals, and a manager to analyze every call — all running locally.

Why open source AI SDR? Traditional SDR platforms charge $280–$1,000+/month per seat. OpenCloser is free, open source, and self-hosted — your data stays on your machine, your AI keys stay in your browser, and you own the entire stack.

🎯 Who It's For

• Solo founders who need to sell but can't afford a sales team
• Early-stage startups that want enterprise-level sales ops from day one
• Sales teams looking to augment human reps with AI intelligence
• Developers who want to build on top of an open sales AI framework
• Privacy-conscious teams who can't send customer data to SaaS platforms

✨ Your AI Sales Team

🧠 AI Sales Strategist

Generates your Ideal Customer Profile (ICP) using SPIN & Challenger frameworks. Asks the right questions during onboarding to deeply understand your market. Builds targeted outreach strategies automatically.

🔍 AI Lead Researcher

Autonomous lead hunting with scoring and qualification. Full local-first CRM with Kanban pipeline management. Industry-aware demo mode with 5 keyword categories when no API key is configured.

📞 AI Caller (SDR)

Real-time AI voice agent powered by Google Gemini (also supports OpenAI Realtime and ElevenLabs ConvAI). Built-in Twilio phone lines — the AI speaks directly into live calls from the War Room (mock mode until you add credentials; bundled cloudflared tunnel for the audio stream). Virtual audio bridge for VoIP apps. Live transcription, sentiment analysis, and objection detection. Power dialing mode for high-volume outreach.

🎯 AI Sales Coach

Objection sparring trainer with 3 difficulty levels (Rookie, Pro, Elite). Practice handling 12 objection archetypes against an AI prospect. Real-time encouragement and post-session scoring with specific improvement tips.

📊 AI Sales Manager

Post-call AI debrief with sentiment analysis and key insights. Auto-generated follow-up emails. Call analytics dashboard with conversion metrics. Pipeline intelligence with live Kanban board.

🚀 Quick Start

Prerequisites

• Node.js (v20+)
• Rust (latest stable)
• Tauri prerequisites (system dependencies per platform)

Run the Desktop App

git clone https://github.com/issacops/opencloser.git
cd opencloser
npm install
npm run tauri dev

No API Key? No Problem.

OpenCloser works fully in demo mode with no API key — 10 realistic seed leads, simulated AI calls, and all features functioning with fallback data. Perfect for evaluation.

Enable Real AI

Add any of these in Settings → Voice Engine:

Then connect a Twilio phone line in Settings → Phone — or skip credentials entirely and phone-line calls run in mock mode.

🏗️ Architecture

opencloser/
├── src/                         # React 19 frontend (TypeScript strict mode)
│   ├── features/
│   │   ├── crm/                # Kanban pipeline, Dashboard, Settings, Persona
│   │   ├── voice/              # War Room, Post-Call Debrief, Objection Trainer
│   │   ├── hunter/             # Lead hunting engine
│   │   └── onboarding/         # AI onboarding + ICP generation
│   ├── stores/                 # 5 Zustand stores (call, navigation, persona, ...)
│   ├── services/               # Typed Tauri invoke wrappers (leads, AI, Twilio)
│   ├── test/                   # 74 Vitest tests across 8 suites
│   └── components/             # AppShell, shared UI
├── src-tauri/                  # Rust backend
│   └── src/
│       ├── ai/gemini.rs        # Gemini API + industry-aware demo mocks
│       ├── ai/ollama.rs        # Offline Ollama path (priority over cloud)
│       ├── twilio/             # Twilio REST + Media Streams + cloudflared tunnel
│       ├── db/                 # SQLite schema + 10 seed leads + migrations
│       ├── relay/              # WebSocket proxy for OpenAI/ElevenLabs
│       └── lib.rs              # 24 Tauri commands registered
└── public/
    └── audio-processor.worklet.js  # Zero-latency PCM capture

Tech Stack

📦 Platform Support

All packages available on the Releases page.

📊 Project Status

🔒 Privacy & Security

• All data stays local — SQLite database on your machine, never synced to any server
• API keys stored in your browser's localStorage — never transmitted except to the AI provider you choose; they are sent as headers, never in URLs
• Offline capable — configure Ollama (Settings → Offline AI) and interviews, research, call analysis and objection training run entirely local
• Open source — every line auditable. MIT license.

📞 Phone Lines & Audio Bridge

Option A — Built-in Twilio phone line (recommended): add your Twilio credentials in Settings → Phone (or stay in mock mode), toggle auto-tunnel, then press PHONE LINE in the War Room header. The AI speaks directly into the live call — no virtual cables required.

Option B — Virtual audio cable (VoIP apps like Phone Link / FaceTime):

• Windows: VB-Cable (free)
• macOS: BlackHole (free)
• Linux: Use PulseAudio's null-sink module

The built-in Audio Setup Wizard guides you through configuration, or skip entirely for VoIP-only mode.

🤝 Contributing

We welcome contributions! See AGENTS.md for the full developer guide.

# Setup
npm install

# Quality gates (run before committing)
npm run lint        # ESLint + strict tsc
npm run format:check
npm run knip        # no unused exports
npm test            # Vitest suites

# Rust gates (in src-tauri/)
cargo fmt --check
cargo clippy --all-targets -- -D warnings
cargo test

# Run desktop app
npm run tauri dev

1. Fork the repository
2. Create a feature branch (git checkout -b feat/amazing-feature)
3. Commit your changes with clear messages
4. Ensure npm run lint and npm test pass
5. Open a Pull Request

📄 License

MIT License — see LICENSE for details.

🙏 Acknowledgments

• Tauri — Making native desktop apps accessible to web developers
• Google Gemini — The AI backbone
• OpenAI — Realtime voice API
• ElevenLabs — Most human-sounding voice synthesis
• Lucide Icons — Beautiful icon set