See what your AI sees. Understand what it does. Fix what goes wrong.
Cohzen is building the open-source reliability layer for AI systems — from execution capture and replay to evaluation and regression prevention.
AI isn't a model anymore.
It's a system.
Models, prompts, context, tools, memory, and agents work together.
Change one—and the behavior can change everywhere.
Hover over any node to inspect real-time latency, token budgets, and runtime boundaries.
AI agents fail differently.
Traditional software gives you a stack trace.
Agents give you a trail of decisions.
The error isn’t where it started.
You shouldn't have to
reconstruct the story.
Cohzen keeps the whole execution together.
The control layer for your AI system.
Observe it. Replay it. Evaluate it. Prevent it.
See what your AI sees.
One layer. One execution. One source of truth.
From production failure to verified fix.
Cohzen turns a difficult production failure into an execution you can inspect, replay, change, evaluate, and verify.
Add Cohzen to the agent you already have.
Connect Cohzen to the execution boundaries that matter. No agent rewrite. No new architecture. No forced migration.
Capture the execution as it happens.
Build a record of the inputs, state, decisions, model calls, tool calls, and outputs needed to understand what happened.
Reconstruct the execution.
Reuse recorded results instead of repeating work that has already happened. Inspect the failure without paying to reproduce the entire path.
Change one thing.
Patch the prompt, routing logic, tool configuration, or model parameters. Then branch from the original execution and run forward.
Know whether the fix worked.
Compare the original and patched executions. Evaluate the result. Confirm the improvement. Capture the failure as a regression test.
Every failure makes your system smarter.
The execution that broke in production doesn't disappear. It becomes something you can understand, replay, evaluate, and turn into a guardrail.
Live agent serving real user requests.
Agents process multi-step workflows, orchestrate tools, and mutate context in production. Every execution boundary is instrumented with zero latency overhead.
Your production data shouldn't just tell you what went wrong.
It should make your AI better.
Every edge case crystallized into a test. Every regression prevented before merge.
Built around executions, not dashboards.
Most observability systems help answer: "What happened?" Cohzen is designed to help answer the next question: "What happens if I change it?"
Immutable execution records
Cohzen records the state required to understand and reconstruct an execution. The execution becomes something you can inspect, preserve, and return to.
Differential replay
Start from a recorded execution. Reuse everything that remains the same. Patch the boundary you care about. Then execute the affected path forward.
Keep the tools you already use.
Cohzen is designed to be composable. Keep your agent framework. Keep your observability platform. Keep your evaluation tools. Cohzen connects the debugging loop between them.
The framework may change. The debugging problem doesn't.
Not another dashboard.
Cohzen isn't trying to become the place where every metric, trace, and log lives. There are already excellent tools for that. Cohzen focuses on the gap between:
“Something failed in production.”
“I understand why it failed. I've reproduced it. I've fixed it. And I've made sure it won't happen again.”
That's the loop Cohzen is built to close.
Your AI infrastructure should be inspectable.
Cohzen is open source and self-hostable. Inspect the code. Understand how executions are captured. Run the infrastructure where your systems run.
Building the reliability layer for AI systems.
Execution capture, agent instrumentation, native framework support
Deterministic execution replay, snapshot restore, execution branching
Failure localization, evaluation-guided replay, trace-to-evaluation analysis
Production-to-regression workflows, automated test generation, CI regression gates
Distributed execution storage, team collaboration, enterprise infrastructure
Frequently asked questions.
Your agent already ran.
Now understand why.
Open source · Developer first · Built for AI systems