Cathedral FAQs

Question 1

Can Cathedral detect and prevent AI agent identity drift?

Accepted Answer

Yes, Cathedral includes 'Identity anchoring' with gradient scoring to detect and mitigate drift, helping AI agents maintain their core self and continuity over time, as demonstrated by benchmark tests.

Question 2

How can I integrate Cathedral into my AI project?

Accepted Answer

You can quickly integrate Cathedral using its free hosted API, the Python client library (`pip install cathedral-memory`), or by self-hosting the FastAPI service via a direct Python script or Docker.

Question 3

Is Cathedral suitable for multiple AI agents working together?

Accepted Answer

Absolutely. Cathedral supports 'Shared memory spaces' which allow multiple AI agents to collaborate effectively by accessing and contributing to the same memory pool, fostering enhanced teamwork and collective learning.

Question 4

What are the core features of Cathedral?

Accepted Answer

Key features include persistent memory, a 'Wake protocol' for full identity and memory reconstruction, 'Identity anchoring' to detect and mitigate drift, temporal context integration, and shared memory spaces for multi-agent collaboration.

Question 5

What is Cathedral and how does it help AI agents?

Accepted Answer

Cathedral provides persistent memory and identity for AI agents, preventing context loss and ensuring continuity across sessions, resets, and even model switches. It allows agents to remember who they are, what they've learned, and their past experiences.

Cathedral

Cathedral

主要功能

使用案例

主要功能

使用案例