Project Workspaces
Organize AI agent initiatives by product, environment, and team ownership with clear boundaries.
Product
A product architecture built for AI agent reliability
Tarkon combines agent infrastructure, observability, testing, benchmarking, and deployment workflows in one system.
Agent Definitions
Model prompts, tools, policies, and orchestration logic in a consistent, inspectable system.
Version Control
Capture every configuration change so agent behavior can be reviewed, compared, and rolled forward safely.
Run Tracing
Store execution context, tool events, outputs, and metadata for reliable debugging and observability.
Replay Workflows
Re-run critical scenarios against new versions to confirm fixes and reduce regression risk.
Benchmarking
Measure agent quality, cost, latency, and behavior across controlled evaluation suites.
Deployment Pipelines
Promote validated agent versions to production APIs and release channels with stronger controls.
Workflow
How Tarkon supports the full agent lifecycle
From build to deployment, each stage is connected so teams can move faster without losing traceability.
- Build
- Inspect
- Evaluate
- Deploy
Step 1 of 4
Build
Define agents, prompts, tools, and environments in a structured workspace with versioned configuration.
Early Access
Evaluate Tarkon for your AI agent stack
Join the waitlist to get early access and updates on infrastructure-grade tooling for AI agent development and deployment.