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Cartha
Quiet
#13180 Radar 12

An operations platform for AI agent fleets, providing tracing, memory, and cost control.

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Product memo

Cartha targets enterprises building autonomous AI agent fleets, offering a crucial operational layer. Unlike competitors focusing solely on agent capabilities, Cartha provides governance through detailed tracing, scoped memory with time-travel recall, and hard budget enforcement. This focus on accountability and control addresses a critical gap for production AI deployments, enabling enterprises to manage complex agent ecosystems reliably and cost-effectively.

For who

Enterprises managing AI agent fleets

Solves what

Governance for AI agents: tracing, memory, cost control, and debugging.

  • Real-time trace replay
  • Scoped agent memory
  • Hard budget ceilings

In their own words

Agent Operations

Cartha helps enterprises trace reasoning, manage multi-agent memory, and optimize cloud costs for autonomous workloads in real time.

Commercial cues

Pricing snapshot usage based with trial available

Model

usage based

Free tier

No

Trial

Available

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • Free tier for initial adoption and testing
  • Enterprise plan for unlimited usage and dedicated support

Operator context

Operating setup

Founded

Jul 2026

HQ

India

Platform

API

Audience

Developers

Builder Strategy

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Small Team
About Cartha Expand

Cartha is an operations platform designed for enterprises managing fleets of AI agents. It addresses the critical need for governance by offering detailed tracing of agent reasoning, specific management of multi-agent memory with time-travel recall capabilities, and strict enforcement of hard budget ceilings.

The platform helps enterprises debug production agents in real time, ensuring they behave as intended and stay within cost limits. With Python and TypeScript SDKs, Cartha integrates directly into existing agent development workflows, providing accountability and control for autonomous workloads.