Question: would an opt-in LLMSafe compatibility pilot be useful?

Hi Danilo,

I'm the maintainer of [LLMSafe](https://github.com/rezerpaul-crypto/llmsafe), an early-stage
open-source static scanner for Python AI and agent applications. I am inviting five public projects
to a free, bounded compatibility pilot. Your examples are useful because shared AgentCore memory
and deployment concepts are expressed through Strands, CrewAI, PydanticAI, LlamaIndex, LangGraph,
and an MCP memory server.

Would you be open to an opt-in review of commit
`5417414fe3f5f2d8eab6f035f0c7310e53a3ba56`, or another commit you choose? I would scan only the
public source locally, without AWS credentials, model execution, memory creation, or deploying any
resources. I would manually review every result and send a concise private compatibility report
through a route you nominate. You could choose one representative framework or the memory MCP
example for the first pass.

This is not a vulnerability report, certification, or request to add LLMSafe to your CI. I would
not publish findings, identify the repository as a user, or propose an integration without separate
explicit approval. The full pilot scope and privacy boundaries are here:
https://github.com/rezerpaul-crypto/llmsafe/blob/main/docs/pilot-program.md

If the issue tracker is not an appropriate place for this question, please close it and I will not
follow up. A simple no is completely fine.

Thanks for considering it.

No repository file, test, or entry point is named. Read the linked LLMSafe pilot-program scope first; the requested outcome is a maintainer decision about an optional private compatibility review, not a defined repository change or testable acceptance condition.

Written by the indexing model from the issue text.