Agent Build System
Version prompts, tools, orchestration, and configurations so every agent change is reviewable, reproducible, and ready for team workflows.
AI Agent Testing, Observability and Deployment
Build, test, and deploy AI agents with real infrastructure.
Tarkon is an AI agent platform for engineering teams that need testing, observability, benchmarking, and deployment controls to ship reliable autonomous agents with confidence.
Version and manage agent systems
Run agent testing before release
Inspect traces, inputs, and tool calls
Benchmark versions and deploy with control
Waitlist for launch updates, product access, and roadmap news.
Agent Infrastructure Workflow
Reliability for every AI agent release
Replace fragmented prompt tooling, ad hoc logs, and manual release checks with a system built for AI agent delivery.
Traceable runs
Every execution captured
Benchmarking workflows
Repeatable pre-release evaluation
Deployment path
From sandbox to production
What Tarkon Solves
AI agent teams need better infrastructure to ship reliably
Tarkon addresses the biggest gaps in AI agent delivery: limited observability, inconsistent agent testing, fragile deployment workflows, and poor release visibility.
AI agents break when prompts, models, tools, or orchestration change, and teams cannot reproduce the exact run that caused the issue.
Many teams still debug agent behavior across scattered logs, notebooks, tracing tools, and internal scripts.
Agent testing and benchmarking are often manual, so regressions reach production before they are evaluated properly.
Deployment decisions stay guesswork when replay, observability, and version-to-version comparison are disconnected.
Core Capabilities
One AI agent platform across build, testing, observability, and deployment
Use Tarkon to build, test, inspect, benchmark, and deploy autonomous agents with structure that supports real engineering teams.
Run Observability
Capture traces, inputs, outputs, tool calls, and runtime metadata for every agent execution.
Agent Testing
Create repeatable test scenarios and benchmark suites to validate reliability before deployment.
Replay and Diff
Replay prior runs and compare agent versions side by side to isolate regressions, quality shifts, and unexpected behavior.
Deployment Controls
Promote validated agents to production APIs with stronger release control, safer rollouts, and a path to commercial distribution.
Why It Matters
Move from agent prototype to production with fewer blind spots
Tarkon gives teams a structured operating model for AI agents instead of a loose collection of prompts, scripts, dashboards, and release checklists.
Build
Create structured agent projects with explicit versions, ownership, and environment control.
Test
Run repeatable evaluations, benchmarks, and release checks before changes reach users.
Inspect
Understand exactly why an agent failed or succeeded with execution-level observability.
Deploy
Move validated agents into production with a controlled handoff instead of ad hoc scripts.
Early Access
Join the waitlist for a more reliable AI agent stack
Request early access to Tarkon for product updates, launch news, and a clearer path to AI agent testing, observability, benchmarking, and deployment.
Request Early Access
Join the waitlist for product updates and early access details.