Multi-Agent Consensus Trap: 5 Agreeing Agents May Equal 1 Evidence Path
izgorodin · reddit · 2026-08-01
The author highlights a subtle flaw in multi-agent frameworks: treating “multiple agents reaching the same answer” as a confidence signal. If agents share the same base model, prompt, retrieval corpus, or memory, they are likely just echoing a single piece of evidence.
To fix this, the author proposes a provenance-first procedure:
- Record Origins: Track model versions, retrieved source IDs, memory entries, and upstream agents for each assertion.
- Collapse Duplicates: Group outputs tracing back to the same origin into a single evidence family.
- Post-Dedup Aggregation: Only aggregate results after deduplication.
- Hide Vote Totals: Prevent agents from seeing running tallies until they form an independent judgment, avoiding bandwagon effects.
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