t3-pstack: Multi-Model Orchestration for Coding Agents

Repositorychhoumann/t3-pstackTool

t3-pstack adapts Lauren Tan's pstack and Michael Denyer's pstack-claude for T3 Code, dispatching subagents, review panels, and fan-outs across Claude, GPT, and Grok via T3's MCP tools.

Key points

  1. Builds on pstack (Lauren Tan) and the pstack-claude port (Michael Denyer).
  2. Dispatches subagents, fan-outs, schedules, and review panels (interrogate, arena, architect) through t3-code MCP tools.
  3. Enables running Claude, GPT, and Grok reviewers side-by-side from Claude Code or Codex threads.
  4. Requires T3 Code to function; standalone setups must use pstack-claude instead.
  5. Installed as a plugin for Claude Code or Codex and configured via /t3-pstack:setup-pstack.

Why it matters

Relying on a single AI model can leave blind spots in architectural evaluations and code reviews. t3-pstack streamlines running competing models in parallel directly inside existing terminal-based agent workflows.

Analysis

The project serves as an orchestration overlay written in JavaScript and managed with Bun. It relies heavily on Model Context Protocol (MCP) integrations provided by T3 Code. In terms of maturity, it is a specialised niche tool (172 stars as of October 2026) closely tied to upstream updates from pstack-claude. It is tailored for engineers actively using T3 Code seeking multi-vendor AI consensus during development.

Mentioned links

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Summary generated by AI (Gemini 3.8 Flash, 14 October 2026). It may contain errors – the original source is authoritative.

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