Ops Control Plane for Agent Clusters
C00LDude6ix9ine · reddit · 2026-07-19
Cartha has built an SDK-first control plane for AI agent clusters, aiming to solve the "hard to operate when agents scale" problem.
It provides:
- Complete tracing: Records memory, tool calls, LLM steps, policies, and costs per run, supporting parent-child multi-agent chains and run comparisons.
- Strictly isolated scoped memory: Controls visibility by user / agent / team / org, rather than just "storing everything".
- Actionable cost analysis: Calculates costs by agent, tool call, and completed task, factoring in retries and failure rollbacks.
- Governance and replay: Includes a policy gate, historical action replay, and failure analysis; it is MCP/A2A friendly and framework-agnostic.
The author is explicitly looking for real-world agent users to poke holes in it, focusing on validating DX, whether the abstractions fit multi-agent loops, and if any critical circuit breakers are missing.
Related event: Cartha Launches Ops Control Plane for Agent Fleets(2 posts)→
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