InficyAI execution monitoring
Monitoring an agent is not monitoring a chat. It means following each execution from the instruction that started it to the last step it took, and keeping evidence of that run after the terminal window is closed.
What you monitor
- Executions as they arrive, per agent and per workspace.
- Outcomes: completed, failed, interrupted, retried or recovered.
- Failure hotspots by tool, model and agent, drawn only from recorded runs.
- Activity time and step counts, separated from wall-clock duration.
- Connector capture health, so you can see which runtimes report less.
Connect an agent in one command
Codex CLI, Claude Code and Hermes install a recorder with a single pasted command and a one-time setup code. Executions are then observed at runtime and preserved as canonical NexArt Project Bundles. ChatGPT connects over MCP and reports its own checkpoints; those records are labelled agent-reported throughout.
From monitoring to evidence
A monitoring chart is only as trustworthy as the record behind it. Every number Inficy shows traces back to a stored artifact, and anything the runtime did not report stays unavailable rather than being filled with a zero. When one execution needs independent proof, you can certify that specific record.
Related reading
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