Private AI Agent Platform
A self-hosted AI agent platform combining local inference, model routing, durable memory, scheduled operations, and operational controls.
Challenge
Useful agents need more than a chat model. They need inference, memory, tools, routing, scheduling, reliability, and an operating environment that can be controlled.
Solution
Zentari assembled those capabilities into a private agent platform centered on local GPU inference with controlled access to additional model providers when needed.
Outcome
A working platform for persistent AI assistants and automations that can operate across local and cloud intelligence while keeping the local stack under direct control.
Architecture
How the system fits together
Interaction
Intelligence
State & Reliability
Public conceptual view. Sensitive implementation details, addresses, credentials, and private topology are intentionally omitted.
Case study
An AI system, not a single model
The platform separates agent behavior from model serving. Local inference, model routing, memory, scheduled operations, and user channels can evolve independently.
- Local GPU inference
- Multiple agent profiles
- Durable memory
- Scheduled operations
- Telegram interaction
- Fallback model routing
Operations
Designed to survive normal operations
The project includes acceptance testing, backup and restore validation, runtime health checks, and explicit production baselines rather than treating a successful model launch as the finish line.
Under the hood
Keep exploring
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