MemTensor / HaluMem
HaluMem is the first operation level hallucination evaluation benchmark tailored to agent memory systems.
Why this job: says: memory systems, agent memory; topics: long-term-memory, memory, llm-memory
What it does
Most existing evaluation frameworks treat memory systems as black-box models, assessing performance only through end-to-end QA accuracy. However, this approach has two major limitations: 1. It lacks a hallucination evaluation specifically designed for the characteristics of memory systems. 2. It fails to examine the core operational steps in how memory is processed, such as retrieval and updating.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 13 days ago
- Stars
- 180
- +2 this week
- Licence
- Custom
- Read before business use
- Downloads for
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- Built with
- Python
- 100% of the code
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- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
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- Never published
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More: languages, topics and project record
Languages
- Python 100%
Topics
- ai
- benchmark
- hallucination
- hallucination-evaluation
- llm
- llm-memory
- long-term-memory
- mem0
- memobase
- memory
- memory-system
- memos
Project record
- JobAgent memory
- StatusListed
- Commits23
- Forks18
- Watching1
- Stars in 28 days+5
- CreatedOct 25, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026