- Who it helps
- Researchers and agent builders testing how collaboration affects answer quality.
- Availability
- Configurations and traces are public. The repository describes an ICLR 2027 submission; acceptance and independent replication are not established.
What the experiments compare
The experiments vary how several models exchange or retain claims across controlled question families. Shared records can help corrections persist, but can also strengthen an incorrect belief.
How to use the result
A team can include contradictory claims and delayed corrections in its evaluation set, then inspect which evidence an agent uses. Treat each reported condition as a specific experiment; broad claims about all memory systems would need further tests.
What you can do
- Read one complete trace alongside its configuration and expected answer before generalizing from an aggregate result. Open reference ↗
Where the evidence stops
Only the published experiment account was reviewed. The code was not executed and the findings may depend on the chosen models, prompts and question families.
Sources read. Public source material was read October 17, 2026 UTC. No model inference or third-party project was executed.
Sources & further reading
GitHub · paper
Agent Interaction Lab ↗
Submitted research supplies experiment configurations and traces for shared memory, personal memory and debate.
SummerAnn and collaborators · page checked 2026-10-17
Coverage note: The cited bundle covers the available primary explanation. Matching original X posts, a complete video comparison and independent execution evidence were unavailable.
The record over time (1)
Dated source checks and published explanations. An observation date can differ from the original release date.
Agent Interaction Lab studies how an agent’s recorded beliefs change under shared memory, personal memory and debate. Its experiments make memory failures visible through saved traces.