CogniLife: Continuous Cognitive Distillation for Deployed Multi-Expert Agent Marketplaces
Multi-expert agent marketplaces -- where creators publish domain-specific AI experts for end users to consult -- are an emerging deployment pattern for language technology. A published expert can receive many requests yet little evidence about its creator, who remains active elsewhere: the cold-expert problem. We frame continuous cognitive distillation as converting attributed creator observations into revisable decision rules, communication patterns, and domain procedures. CogniLife proposes a cross-expert attribution design for this problem, with Creator Profiles for transferable creator patterns and Expert Journals for listing-specific knowledge; this design is not yet implemented or evaluated. A deployed platform partially realizes the surrounding lifecycle through creator-authorized authoring, capability-owned proposal filtering, and reversible consolidation of eligible owner-scoped memory. On ProfyBench-v1, an 85-task offline benchmark built from replay seeds and controlled internal tests, the Profy Full configuration as a whole achieves a mean overall score of 4.65/5 from the primary LLM judge, compared with 4.01 for Raw LLM and 4.28 for Expert Prompt, with the largest gains in completeness, specificity, and missing-information tasks. These configuration-level scores do not test cold-expert mitigation, cross-expert transfer, or longitudinal distillation.
Authors
- Xuwei Tan (ORCID: https://orcid.org/0000-0003-2948-9535)
- Ming Cai (ORCID: https://orcid.org/0000-0002-7050-8630)
- Tianyu Shi
- JingSong Yang
- Shuang Lyu (ORCID: https://orcid.org/0000-0001-8634-9673)
- Ronghua Shi
- Jingchun Huang
- Hanxin Chen
- Hehua Fan
- Yifan Zhou
- Yinghui Xia
- Yinzhi Wang
- Tiange Wang
- Jingwei Song
- Jiwei Song
Publication Details
- Journal
- arXiv (Cornell University)
- Published
- 2026-11-03
- DOI
- https://doi.org/10.48550/arxiv.2611.04483
- Primary Topic
- Natural Language Processing Techniques
- Type
- preprint