The authors built JAM around two components.
Runtime research preserves details that prebuilt agent memories can lose
JAM stores complete histories, then trains an agent to assemble query-specific context when a request arrives.
Top University
Bingyu Yan · Chaofan Li · Hongjin Qian · Shuqi Lu · Chaozhuo Li · Zheng Liu
Beijing Academy of Artificial Intelligence · Peking University · Hong Kong Polytechnic University
Research Digest··2 min read
Yan et al.
Why this paper
From Peking University and 2 others · Released code
In one line
Just-In-Time Agent Memory constructs query-relevant context at runtime, outperforming Ahead-of-Time systems and prior trained memory.
What it released
Code
What we could check
- ✓Code link in the paper (github.com)
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ·No stated limitations found
- ·No benchmark numbers found
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
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