Governance Layer for Agent Fleets
C00LDude6ix9ine · reddit · 2026-07-18
The author built Cartha to add an ops/governance layer to AI agent fleets, focusing on an SDK-first approach: adding tracing to agent functions takes just a few lines of Python (TypeScript support coming soon).
Core capabilities include:
- Trace replay: View the complete reasoning chain for every run, including what memory was accessed, which tools were called, and how final decisions were made—going beyond simple logs.
- Scoped memory: Access control by user / agent / team / org, emphasizing truly blocking access rather than just storage isolation.
- Cost attribution: Break down costs by agent and tool call to help teams identify waste.
It is also compatible with OpenTelemetry and natively supports MCP / A2A from the SDK layer, making it framework-agnostic. The author is looking for people running agent systems in production to test it, explicitly asking for feedback on APIs, abstractions, and developer experience.
Related event: Cartha Launches Ops Control Plane for Agent Fleets(2 posts)→
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