
Mem9 Recall (Grade A)Security-tested data-ai skill for Claude AI. Grade A. Search shared memories from past sessions. Use when the user's question could benefit from historical context, past decisions, project knowledge,
Overview
Key features
- Memory search and retrieval
- Query analysis and keyword identification
- Filtering by tags or source
- Concise summary of relevant memories
Pricing
- Model
- Free
- Category
- Skills
- Rating
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Use cases
Project Review
Use Mem9 Recall to search for past project decisions, knowledge, and expertise to inform current project discussions.
Knowledge Retrieval
Employ Mem9 Recall to retrieve historical context and relevant information from past sessions to answer user queries.
Pros & Cons
Pros
- Provides historical context to conversations
- Helps in retrieving past decisions and project knowledge
- Can filter memories by tags or source
Cons
- Depends on the quality and relevance of stored memories
- May return outdated or superseded information if not properly evaluated
Reviews
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Q&A
What are the main limitations of Mem9 Recall?
The skill’s usefulness depends on the quality and relevance of stored memories; it may return outdated or superseded information if the underlying memories aren’t kept current, and irrelevant results are filtered out during evaluation.
Asked by Jarrah Whitlock · Mar 17, 2026
What types of queries benefit most from Mem9 Recall?
It shines when a question needs historical context, such as past decisions, project knowledge, team expertise, or patterns from earlier sessions, because it can search shared memories and surface relevant facts and sources.
Asked by Malik Rasheed · Mar 10, 2026
How does Mem9 Recall integrate with Claude AI?
Mem9 Recall is a data‑AI skill built specifically for Claude AI; it runs as a skill that receives the user query, extracts keywords, makes a curl call to the Mem9 API, and returns a concise summary back into the Claude conversation.
Asked by Tatiana Popescu · Mar 7, 2026
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