DSAIL-Memory/EvoMemBench: Recent benchmarks for Large Language Model (LLM) agents mainly evaluate reasoning, planning, and execution. However, memory is also essential for agents, as it enables them to store, update, and retrieve information over time. This ability remains under-evaluated, largely beca...
Pillar = mean of 2 scaled values = 0.0.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: SO questions (7d), Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs, PyPI monthly installs
[](https://agenttape.com/agents/dsail-memory-evomembench)
<a href="https://agenttape.com/agents/dsail-memory-evomembench"><img src="https://agenttape.com/api/badge/dsail-memory-evomembench.svg" alt="AgentTape" /></a>