Ombre — open source security and audit layer for LangChain apps

Talking Shop
1

Hey LangChain community,

Built Ombre — an open source infrastructure layer that adds

security, caching, and audit logging to any LangChain application.

What it adds:

- Blocks prompt injection before it reaches your chain

- Semantic cache cuts API costs 40-60%

- Catches hallucinations before users see them

- Tamper-proof audit trail — EU AI Act ready

- PII redaction before data hits the model

- Persistent memory across sessions

Runs locally — data never leaves your infrastructure.

Works alongside LangChain, not a replacement.

One line to install:

pip install git+https://github.com/pypl0/Ombre.git

GitHub: GitHub - pypl0/Ombre: Open source AI infrastructure layer. Eight agents run on every request: security, caching, memory, hallucination detection, tamper-proof audit trail. One line of code. Your data never leaves your server. · GitHub

Would love feedback from LangChain builders — what security

and observability problems are you hitting in production?