Brainz Lab

Brainz Lab

AI-native observability for developers. 31 products. 8 AI executives. One vision.

What We're Building

Brainz Lab is building the infrastructure layer that makes AI actually useful for software development. We're creating observability tools designed from the ground up for AI consumption—so Claude can actually see your logs, errors, and metrics instead of asking you to copy-paste them.

Products

Product Description Status
Recall Structured logging that AI can search Available
Reflex Error tracking that AI can fix Available
Vault Secrets management for AI agents Available
Pulse APM that tells you why it's slow Coming Soon
Signal Alerting that doesn't cry wolf Coming Soon

Quick Start

git clone https://github.com/brainz-lab/stack.git
cd stack
./scripts/setup.sh
docker-compose up -d

Open http://localhost to access the dashboard.

The Stack

- https://github.com/brainz-lab/stack — Docker Compose setup for running all products locally
- https://github.com/brainz-lab/brainzlab-ruby — Ruby SDK for Rails integration

Why Self-Hosted First

Your observability data contains secrets, user IDs, request payloads. We believe it should stay on your infrastructure. All Brainz Lab products run locally via Docker—no data leaves your servers unless you want it to.

MCP Integration

Every product exposes an MCP (Model Context Protocol) interface. Connect Claude Desktop or any MCP-compatible AI, and it can query your logs, analyze your errors, and check your metrics directly.

Connect

- 🌐 Website: https://brainzlab.ai
- 💬 Discord: https://discord.gg/2mCfVTR7aD
- 🐦 X/Twitter: https://x.com/afmp_94
- 💼 LinkedIn: https://linkedin.com/company/brainzlabai
- 📧 Email: hello@brainzlab.ai

License

Brainz Lab products are released under the https://brainzlab.ai/license—open source with one restriction: you can't resell the software as a competing service.