redis / redis/agent-memory-server
Search And Memory Prompt
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@therealaditigupta is already working on this.
Since Mar 13, 2026.
enhancement
- Dominant language
- Python
- Stars
- 316
- Forks
- 63
- Avg merge
- 14d 23h
- Merged PRs (30d)
- 1
Description
Story 3: Search And Memory Prompt
User story
As an agent, I can search memory and request a memory-enriched prompt and still get the right context as memory volume grows.
Expected functionality
- Search returns relevant memories.
- Filters work correctly.
- Prompt generation includes the right memory context.
- The system still behaves well as the dataset gets larger.
Why it matters
This is the product's main retrieval story.
What we expect to break
- Search getting slower as the corpus grows.
- Search quality drifting as more noise is added.
- Filters behaving inconsistently.
- Prompt output becoming incomplete or noisy.
Pass criteria
- Known test queries still return the expected results.
- Prompt generation still includes the right context.
- Search remains useful as the dataset grows.
How to test it
- Prepare:
- a small clean dataset
- a larger dataset with noise
- a set of known queries with expected answers
- Run:
- the same query set against small, medium, and large datasets
- repeated hot queries
- mixed search and prompt traffic
- Check:
- do expected memories still appear?
- are filters respected?
- does the prompt contain the expected memory information?
- how does behavior change as the corpus gets bigger?
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Assessment
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