Memori

TL;DR

Memori gives AI agents a long-term memory by indexing their execution traces instead of just relying on the chat history.

Who is this actually for?

Engineers building complex autonomous agents who are tired of their bots forgetting logic and context once the conversation window gets too crowded.

The Good

• Indexes actual execution paths, which is way more useful than just raw chat logs for debugging and consistency.
• Reduces the 'goldfish memory' problem common in multi-step agent workflows.

The Catch (Potential Downsides)

Indexing every single agent trace is going to add a layer of latency and likely inflate your vector database or token costs pretty quickly.