Brix
An agentic orchestration platform where AI agents run locally and autonomously. Rust-based runtime. Optimized for local model execution. claude-agent-sdk. Autonomous agent decision-making and execution.

Agent Builder — Visual Workflow Designer
Design, operate, and improve agents
Brix is a platform that manages the entire lifecycle of AI agents. Design workflows visually in Agent Builder, combine multiple models per task, and monitor execution in real-time. When agents fail, trace the cause and continuously improve based on accumulated data
Build
Design agents and workflows visually in Agent Builder and deploy rapidly. Build complex multi-agent pipelines without code
Manage
Track every agent execution at the Trace level. See which models were called, what data was referenced, and how long each step took in real-time. The system adapts automatically when models change
Improve
Automatically collect and analyze failure cases. Continuously improve agent judgment accuracy based on accumulated data
95% of companies adopting AI fail
Models advance and data changes, but systems can't keep up.
There's no way to trace why the AI produced a wrong result.
Without monitoring, teams resort to short-term fixes — continuous improvement is impossible.
Legacy vs Brix
| Legacy | Brix | |
|---|---|---|
| Early stage | Great Demo | Great Demo |
| Mid stage | Noise and errors increase | Logs, decisions, and failures tracked |
| Late stage | Performance drops, customers churn | Intentional improvement |
| Model change | Rebuild the system | Brix engine adapts |
| Root cause | Unknown | Identifiable |
Technology
Agent Orchestration
Built on claude-agent-sdk. Autonomous agent decision-making and execution. End-to-end flow coordination.
Rust Local Runtime
High-speed local model execution. Air-gapped and on-premise ready. No data leaves the network.
Cost-Performance Engine
Optimally combines large and small models per task. Fast adaptation when models change.
Observability
AI and system monitoring. Model drift detection.
Improvement Engine
Responds to model changes. Continuous performance improvement through failure case accumulation.
FDE
An engineer is deployed to your site within 2 weeks of contract signing. They design and build AI agents and workflows directly on Brix. You don't need to hire a dedicated AI team — when models change or data shifts, the FDE responds on-site and maintains the system.