Skip to main content

The operating system for AI workforces

Project description

Brynq

The operating system for AI workforces.

Chain Claude, Gemini, and open-source models together. Brynq orchestrates them — you keep your keys.

You: "Analyze this report with Claude, get Gemini's opinion, summarize with Llama"
Brynq: Done. 3 models, 1 chain, 45 seconds.

What is Brynq?

Brynq lets non-technical users chain AI models together through a simple chat interface. Connect your existing Claude/Gemini subscriptions, add free local models via Ollama, and Brynq orchestrates them into multi-step workflows.

  • Subscription login — Log in with your Claude Pro, Gemini, or ChatGPT account
  • BYOK API keys — Or bring your own API keys
  • Free tier — Ollama runs locally on your hardware, no keys needed
  • 5 chain strategies — Sequential, Fan-Out, Debate, Refine, Single

Quick Start

# Install
pip install brynq

# Start
brynq-runtime start

# Chat
brynq-runtime chat

# Run a multi-model chain
brynq-runtime chain "analyze this data with Claude then summarize with Llama"

# Check available models
brynq-runtime models

Three Access Tiers

Tier Models Auth Cost
Free Ollama (Llama 3, Mistral, Phi) None needed $0
Subscriber Claude + Gemini + ChatGPT OAuth login Your existing subscription
Developer All + custom models BYOK API keys Pay per token

Architecture

brynq.ai (Cloud)                        Your Machine (Runtime)
┌──────────────────────┐                ┌──────────────────────────┐
│ Chain Planner        │   signed       │ Plan Executor            │
│ Model Scorer         │   plans        │ ├── Ollama Bridge        │→ Local models
│ Prompt Engine        │◄──────────────►│ ├── Cloud Bridge         │→ Claude/Gemini
│ Skill Catalog        │   metadata     │ ├── Agent Bridge         │→ 3rd party
│                      │   only         │ OAuth Manager            │
│ Your content NEVER   │                │ Key Vault (encrypted)    │
│ touches our servers  │                │ Privacy Filter           │
└──────────────────────┘                └──────────────────────────┘

Your data stays on your machine. The cloud only sees request descriptions and execution metadata (timing, token counts). Never your documents, never your API keys.

Project Structure

brynq/
├── runtime/           # The thin client (runs on your machine)
│   ├── app.py         # Local server (port 8003)
│   ├── cli.py         # brynq-runtime CLI
│   ├── executor/      # Plan execution engine
│   ├── auth/          # OAuth (Anthropic, Google, OpenAI)
│   ├── vault/         # Encrypted API key storage
│   ├── sandbox/       # 3rd party agent isolation
│   └── reporter/      # Privacy-safe metrics
├── app/               # Customer-facing web app (React + Vite)
└── docs/              # Documentation

CLI Reference

brynq-runtime start              # Start runtime + open browser
brynq-runtime start --no-browser # Start without opening browser
brynq-runtime stop               # Stop the runtime
brynq-runtime status             # Show runtime status
brynq-runtime models             # List available models
brynq-runtime login claude       # OAuth login for Claude
brynq-runtime login gemini       # OAuth login for Gemini
brynq-runtime chat               # Interactive terminal chat
brynq-runtime chat --model llama3 # Chat with specific model
brynq-runtime chain "prompt"     # Run a multi-model chain

Security

  • BYOK only — Brynq never stores or proxies your API keys on our servers
  • Encrypted vault — Local keys encrypted with Fernet (AES-128-CBC + HMAC-SHA256), PBKDF2 480K iterations, machine-bound
  • Signed plans — HMAC-SHA256 signed execution plans with TTL
  • Privacy filter — Only timing + token counts leave your machine, never content
  • Agent sandbox — 3rd party agents run isolated with path protection and env scrubbing

License

Apache License 2.0 — see LICENSE

Links

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

brynq-0.1.1.tar.gz (81.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

brynq-0.1.1-py3-none-any.whl (99.1 kB view details)

Uploaded Python 3

File details

Details for the file brynq-0.1.1.tar.gz.

File metadata

  • Download URL: brynq-0.1.1.tar.gz
  • Upload date:
  • Size: 81.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for brynq-0.1.1.tar.gz
Algorithm Hash digest
SHA256 a2b1806e8c44a8624077d48629db354076ec7e3291f0b8d4ed8716e951c04789
MD5 488a574757f5d282990ba074faf39adc
BLAKE2b-256 ffe844f67ec96ad7378aa0cb6a0bd870018eab8bae0d6ef890b8c61866f16fcf

See more details on using hashes here.

File details

Details for the file brynq-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: brynq-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 99.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for brynq-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a79483a634fc76152c5f5726ecdd4581ec32906ae07f6b07420c1d5f7620fcfb
MD5 8543d3ae22657ad8413d962e87f656b5
BLAKE2b-256 9302b06a03d1b8030b7ec46b8b17cd3f3938ca7ffa3cd692513eee0238709463

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page