Fast and flexible memory for agents and AI applications using Redis

3 Open Issues Need Help Last updated: Jul 11, 2025

Open Issues Need Help

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AI Summary: Modify the Redis Agent Memory Server to allow users to customize the prompts used for automatic memory and topic extraction through configuration settings in `config.py`. This involves updating the `extraction.py` file to read and utilize these configurable prompts instead of hardcoded ones.

Complexity: 3/5
enhancement good first issue

Fast and flexible memory for agents and AI applications using Redis

Python

AI Summary: Modify the Redis Agent Memory Server to allow configuration of the summarization prompt through the application's settings (config.py). This involves moving the hardcoded summarization prompt in summarization.py to a configurable setting accessible via config.py.

Complexity: 3/5
enhancement good first issue help wanted

Fast and flexible memory for agents and AI applications using Redis

Python

AI Summary: Debug the hash-based compaction functionality within the Redis Agent Memory Server. The current implementation reports finding duplicate memory groups but merges zero memories, indicating a potential flaw in the duplicate identification or merging logic. The debugging will involve examining the hash-based duplicate detection algorithm, the merging process, and potentially the underlying Redis data structures to pinpoint the root cause of the issue.

Complexity: 4/5
bug help wanted

Fast and flexible memory for agents and AI applications using Redis

Python