Mohi provides a framework‑agnostic SDK that automatically instruments AI agents to capture function calls, arguments, results, and their hierarchical relationships. The platform visualizes execution traces in interactive graphs, offers real‑time metrics, alerts, AI‑driven critique and prompt optimization, and detects performance regressions across releases. Integration requires a single import with zero configuration, enabling AI development teams to add full observability without code changes.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
AI agent developers often lack end‑to‑end visibility into execution flows, making it hard to debug nested calls, detect performance regressions, and fine‑tune prompts across large deployments. Without automated analysis, teams must manually instrument code and rely on ad‑hoc testing, which slows iteration and reduces reliability.
Solution
Mohi delivers a framework‑agnostic SDK that automatically instruments AI agents to capture every function call, argument, result, and hierarchical relationship. The platform visualizes these traces in interactive graphs, enabling developers to follow parent‑child execution paths in real time. Live session monitoring streams metrics and alerts as agents run, while built‑in analytics identify performance patterns and suggest prompt or parameter adjustments. An AI‑driven critique engine rates response quality, provides severity‑based feedback, and surfaces actionable improvement recommendations. Continuous regression detection tracks metric drift over time, alerting teams to degradations before they impact production. Integration requires a single import statement and zero configuration, allowing teams to add full observability without rewriting existing code.
Target Audience
The primary customers are AI development teams and enterprises building multi‑agent systems, including SaaS platforms, conversational AI products, and autonomous workflow engines that require reliable, observable agent behavior at scale.
Features
- Framework‑agnostic SDK with automatic instrumentation of nested agent calls and argument capture
- Hierarchical trace visualization showing parent‑child execution graphs and timing breakdowns
- Real‑time session dashboard delivering live metrics, alerts, and execution snapshots
- AI‑powered prompt and parameter optimizer that continuously refines prompts based on observed performance
- Severity‑based critique system that evaluates response quality and generates actionable feedback
- Automated regression detection that flags metric drift and performance regressions across releases
- One‑line integration (`from mohi import create_cli`) with zero‑config setup for rapid onboarding
- Exportable telemetry via standard JSON/REST endpoints for downstream analytics or CI pipelines