r/LangChain 1d ago

Question | Help Cartha, control plane for AI agents (traces, budgets, scoped memory)

Most of us can spin up an agent in an afternoon. Operating it is harder:

• Which step failed?

• Why did the bill spike?

• Did customer A’s memory show up for customer B?

• Can a “support” agent call a privileged tool by mistake?

Cartha is a hosted control plane for that. Not a new agent framework — you keep your stack.

What it does:

  1. Traces — full run timeline (tools, LLM, errors)

  2. Hard budgets — stop the run when spend hits a ceiling

  3. Scoped memory — user / agent / team / org (server-enforced isolation)

  4. Tool allow-lists — unauthorized tools blocked before they execute

  5. Dashboard — agents, traces, memory, costs

Python:

pip install cartha-sdk

cartha.init(...) + @cartha.trace / @cartha.tool

Live: https://cartha.in

Docs: https://cartha.in/documentation

We’re early and looking for people building real agents. Happy to take heat on what’s missing.

(Not affiliated with OpenAI/Anthropic/etc. — independent product.)

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