About Overseer
Making AI systems easier to trust, one trace at a time.
Most AI products make it easy to start talking and hard to understand what actually happened. Overseer is being built around a different idea: operators need control, evidence, and visibility.
The Problem
AI tools promise autonomy but deliver opacity.
When an AI agent fails, most tools show you a friendly error message and nothing else. When it succeeds, you get an output but no evidence of how it got there.
This works for demos. It does not work for production systems where you need to understand failures, audit decisions, and trust that the system did what you asked.
Our Approach
Execution traces as first-class citizens.
Every workflow in Overseer produces a complete trace: which tools were called, what data flowed between steps, which decisions were made, and why. Not as an afterthought, but as the core product.
Product Principles
What we believe about AI tooling
Local-First Control
Your data, your models, your infrastructure. No vendor lock-in, no cloud dependencies, no external API calls unless you explicitly configure them.
Structured Execution
Every AI action follows a defined workflow with clear inputs, outputs, and decision points. No magic, no guesswork, just traceable steps.
Evidence Over Claims
Execution traces capture what actually happened, not what the model claimed. Every tool call, every decision, every output is recorded and verifiable.
Operator-Centric Design
Built for people who need to understand, debug, and trust AI systems. Not a chatbot wrapper, but mission control for AI operations.
Development
Building in the open
Foundation
- Core agent runtime
- Tool execution framework
- Local model integration
- Basic trace capture
Current
- Workflow orchestration
- Supervisor patterns
- Enhanced traceability
- Desktop application
Next
- Multi-agent coordination
- Advanced debugging tools
- Team collaboration features
- Enterprise deployment
Team
Small team, focused mission.
Overseer is being built by a small team that has spent years watching AI tooling promise more than it delivers. We are building the tool we wanted to use ourselves.
Get in touchArchitecture
Runtime, execution model, trace infrastructure
Product
Operator experience, workflow design, documentation
Engineering
Desktop app, integrations, performance
Ready to see AI execution clearly?
Download the desktop app and start building workflows with full traceability.