CASE / TRINITY-STUDIO
Trinity Studio
A local multi-agent roundtable for collaborative and goal-driven execution.
Problem
Multiple models can offer opinions, but they need roles, arbitration, stop conditions, and reusable capability interfaces.
Decisions
Separate adapters, traits, genes, MCP, and goal-driven loops into distinct extension surfaces while retaining manual input.
Outcome
Local records document implemented roundtable, capability extension, MCP server, and autonomous-loop modules; memory remains planned.
Reflection
The key to a multi-agent product is not adding speakers, but giving collaboration structure and an ending condition.
Public evidence
- Product PRD indexRoundtablePlus project docs, reviewed 2026-07-17