Local Model Drives Multi-Agent Collaboration: Inside the Clairvoyance Project
draginol · x · 2026-08-12
The post highlights a project named Clairvoyance, whose primary goal is to enable local models (like Gemma) to handle 99% of the workload.
The project adopts a multi-agent architecture, effectively allowing a local primary model to hire a staff of mixed models to collaboratively complete tasks. It also features an escalation mechanism based on task difficulty, automatically routing complex problems to more capable models when local resources fall short.
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