multi-model plugins

by Fazal Ali

pi agent for claude: a `pi` subagent type whose model steps run the pi CLI, so pi subagents and agent-team teammates live in Claude Code's own agent UI, streamed live, on any model pi can reach.

by Parcha Labs

Multi-model orchestration or explicit solo execution for coding sessions.

by Lauri Gates

Agent configuration utilities - project assimilation, config auditing, teammate definitions, MCP management, and hooks configuration

by Alberto Leal

Install and maintain a "model routing" section in a project's CLAUDE.md that teaches Claude Code which model to use for which work, including delegating to GPT models via the Codex CLI. Use when adding model-picking guidance to CLAUDE.md, setting up Codex/GPT as a delegation target or fallback, or routing subagent and workflow tasks across models by cost, intelligence, and taste.

by Gopher Guides

Multi-LLM integration for second opinions and task delegation

by Harry Yep

Multi-model orchestration: tier agents, routing rules, blind panel, ultra fleet, model config, and drift doctor.

by beorn

Multi-LLM research — deep research, second opinions, and multi-model debate via GPT, Gemini, Grok, and Perplexity

by Mingyang Bao

Multi-provider agent fabric — any agent (Claude / Codex / …) invoking, orchestrating, and handing off to models of any provider. One `call` primitive (task/review/agent/image modes) + fan_out + a minimal observe proxy that dissolves the Foundry-vs-tap conflict.

by Andrew Maston

Alternative-model fan-out engine. Manifest-driven parallel runs across capable :cloud models and Claude — background execution, digest compression, worktree isolation, and a governance-gated provider path.

by VlDubr

Bidirectional bridge between Claude Code and Codex (ChatGPT): code review, adversarial review, task delegation, background jobs, models consulting each other, and image generation via Codex's built-in tool. Runs on your existing ChatGPT subscription, no API keys.

by John Osumi

Unified collaboration package with semantic agent actions, source-grounded context, and a verified plugin-relative direct native runtime.

by Andre Paat

Drive GPT-6 Astra as scoped subagents with task-routed low-xhigh effort and explicit max/ultra

by Takayuki Hirasawa

Orchestrate a multi-model development workflow across Claude Code and Codex CLIs: design, implement, test, independent multi-model review, triage, fix, re-test.

by Ian Anderson

Adversarial code review via the Devin CLI. Runs your choice of frontier model read-only against your actual repo — or several of them in parallel, so you get genuinely independent opinions instead of one.

by Expert Council Contributors

Cost-aware dynamic Pi expert orchestration for substantial Codex tasks.

by Onnozelaer

A review-only, sandboxed second opinion from a Gemini-family model via the Antigravity CLI (agy). Eight subcommands (review, megareview, wip, sanity, name, compare, save, harvest) with pinned Gemini models so the answer never silently comes from another model family; the reviewer is read-trusted to the project root, write-sandboxed, and proposes edits as code blocks that Claude applies. Pairs with adjudant for vault context and persisted reviews.

by Andre Paat

Integrate Google's Gemini (via Antigravity CLI) into Claude Code for second opinions, dual code reviews, and AI-assisted explanations

by mumo

Multi-model deliberation panel. Diverse AI voices + claim-level reactions on contested decisions.

by Kourosh Mobl

Pool several AI subscriptions inside Claude Code by delegating to vendor CLIs as subprocesses. Ships field-tested adapters for GLM (Z.AI), Codex (ChatGPT), Copilot, Antigravity (Gemini), Ollama (local) OpenRouter (metered, many vendors behind one key) and a second Claude subscription, a multi-model consultation panel, task delegation into throwaway worktrees you review as a diff, and a probe-driven generator that builds and verifies an adapter for any provider you already have.

by NSRandom

Staged, multi-model build pipeline: plan, specify, implement, review, validate, debug.

by x-mesh

Quick, Standard, and Ultra implementation planning with validated artifacts