this is a good point around taking advantage of model/api provider features i agree that prompt caching is great! we make sure to use it in …

this is a good point around taking advantage of model/api provider features i agree that prompt caching is great! we make sure to use it in deepagents! but that alone doesnt lock in - you can switch pretty easily, just a bit more costly things like encrypted or serverside compaction make it harder to do so. blackbox long term memory makes it impossible i think there is a line between optimizing a harness for a model/llm provider, and using the harness to create lock in for a model provider i think model providers are inherently incentivized to create lock in, and i think managed claude agents is fantastic example of that coming true Love your points on how llm providers want to own parts of your harness. We definitely need to open and have ownership of our data. That being said there are interesting model specific features you can only get when you lock in to an llm provider. One good example that comes to m…

if you want claude's managed agents w/o model provider lock in, this is the path! deepagents deploy lets you deploy an agent built on our …
the real future of the very best vertical products is Model/Harness Choice + Openness easy to deploy infra is nice (great release from Ant) …
With closed agent platforms like Claude Managed Agents, your agent's memory belongs to them, not you. It's locked behind their API. Agent in…
This is why you need model agnostic harnesses
Hot take: I can't see any startup building their critical core operations on Claude Managed Agents or any proprietary harness as investable.…
if you prefer blog format: https://blog.langchain.com/deep-agents-deploy-an-open-alternative-to-claude-managed-agents/

Source: Harrison Chase (X) | 2026-04-11

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