Amicus — a multi-model AI council and ad-hoc sidecar, with Claude as orchestrator.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Documented (README)
- !Install pipes a remote script into a shell (curl | sh)
git clone https://github.com/BourbonDog/amicusResumen de Tools
<div align="center">
# Amicus
**A multi-model LLM Council for Claude — with a parallel AI window underneath.**
<p align="center"><img src="./docs/cards/council-hero.svg" width="560" alt="The Amicus council ritual across three convenings: independent review spokes, anonymous cross-review, and a non-Claude chair synthesizing the verdict — the third convening seats a local Qwen2.5-Coder on-device alongside cloud peers"></p>
Hand Claude a plan, a design, a diff, an architecture decision, a manuscript — anything — and say *council review this*: Amicus routes it through several models from different families, has them anonymously cross-review each other, and a non-Claude chair synthesizes a verdict you turn into accept/deny edits. Or skip the ceremony and **fork** a single conversation to Gemini, GPT, DeepSeek, or any other model — it works in parallel with full context, and you **fold** the result back when you're ready. Claude orchestrates throughout; you stay in your editor.
**The same council — more ways to run it:** take it **headless in CI** with no Claude runtime, sharpen it with a **debate round**, or run it on **free local models** (Ollama, LM Studio, vLLM) at **$0** — private and offline.
[](https://www.npmjs.com/package/amicus)
[](./LICENSE)
[](https://nodejs.org)
[](./CONTRIBUTING.md)
**[Quick start ↓](#quick-start)** · [Commands](#commands) · [Documentation](#documentation) · [Troubleshooting](#troubleshooting)
> **Supported clients:** Claude Code CLI, Claude Desktop, and Claude Cowork are fully tested and supported. Claude Code web is experimental.
</div>
---
## Table of Contents
- [What is Amicus](#what-is-amicus)
- [The Council](#the-council)
- [Ways to run the council](#ways-to-run-the-council)
- [Quick start](#quick-start)
- [1. Install](#1-install)
- [**2. Configure — don't skip this**](#2-configure--dont-skip-this)
- [3. Your first council](#3-your-first-council)
- [4. Your first sidecar](#4-your-first-sidecar)
- [Requirements & Dependencies](#requirements--dependencies)
- [The parallel window](#the-parallel-window)
- [Commands](#commands)
- [Models](#models)
- [MCP integration](#mcp-integration)
- [Configuration](#configuration)
- [JSON output](#json-output)
- [Windows](#windows)
- [Troubleshooting](#troubleshooting)
- [Documentation](#documentation)
- [Contributing](#contributing)
- [Built on OpenCode](#built-on-opencode)
- [Attribution & License](#attribution--license)
---
## What is Amicus
One install delivers six things that work together:
- **The `second-opinion` LLM Council skill.** Structured multi-model review: independent reviews → anonymized peer cross-review → a non-Claude chair verdict → tiered accept/deny decisions. This is the hero.
- **The `sidecar` chat skill.** Ad-hoc fork/work/fold — spin up one other model in a real window (or headless), work alongside it, fold the summary back.
- **The `amicus` CLI (with an `am` alias) and an MCP server.** The engine underneath both skills: launches sessions, shares context, runs parallel waves, and exposes the same surface to Claude as MCP tools.
- **A self-updating model catalog.** Aliases and validation resolve against a live catalog fetched from provider APIs (cached locally), so model names stay current without a hard-coded table.
- **Observability.** `amicus watch <id>` renders any live or finished run (fan-out or council) from any terminal; `--follow` streams milestones as they happen; `--on-complete` fires a hook when a run lands; `--retry-failed` plus opt-in cheaper-model fallbacks recover dead legs without relaunching the whole wave; `amicus spend` answers "what did this cost, and where" with per-run attribution.
- **Council Workspace.** `amicus watch <runId> --ui`: a window that shows a council *thinking* — live seats, the anonymized judge packet, the adjudication matrix, dissent drill-in, chair verdict, and cost-by-seat — for both live and historical runs. It also **auto-opens** on an MCP-invoked council run from Claude Code (local), so you no longer have to remember the flag (see [docs/council.md](./docs/council.md#council-workspace-gui)).
Claude is the orchestrator. The council and chat skills run *on top of* the engine; you talk to Claude, and Claude drives Amicus.
<p align="center"><img src="./docs/cards/what-is-amicus.svg" alt="One install: the second-opinion council and sidecar skills riding the amicus CLI + MCP engine, with the live model catalog, watch/spend, and Council Workspace fed off it"></p>
---
## The Council
> Trigger it by saying *"council review this"* to Claude, or, on the plugin channel, run **`/amicus:council`** directly.
**Why multi-model.** Any single model — including the one running your session — has consistent blind spots. Route the *same* material through models from *different* families and the disagreements surface: missed issues, overstated confidence, claims one model alone would have waved through. The council is the structured version of that idea.
**The flow, in five beats:**
1. **Independent reviews.** Each council model reviews the artifact on its own (one parallel wave), producing a structured findings list — claim, severity (`blocker | major | minor | nit`), location, rationale.
2. **Anonymized cross-review.** Claude relabels every review (Review A, B, C…) and sends the identical bundle to every model. Each model ranks the reviews and adjudicates every finding (`agree | dispute | neutral`) — *unknowingly judging its own*, so self-bias washes out. This yields a **street-cred** ranking and sorts findings into **Disputed / Confirmed / Contested / Singleton** tiers. Self-bias is washed out per **seat**: if you deliberately seat one model twice, each seat's vote on the *other* seat's finding is counted as the real peer vote it is, and the finding is flagged when its only corroboration came from its own twin.
3. **Chair verdict.** A designated **non-Claude** chair receives the de-anonymized picture — all reviews, rankings, and adjudications — and synthesizes an independent verdict. Claude presents it verbatim; Claude does not synthesize.
4. **Tiered decisions.** Confirmed findings get one bulk accept/deny; Contested and Singleton findings are decided one at a time (accept / deny / modify).
5. **Outputs applied.** Accepted findings are written into a reviewed copy of the source; the full run is captured in the run folder.
```mermaid
flowchart LR
A["Artifact"] --> B["Independent<br/>reviews"]
B --> C["Anonymized<br/>cross-review"]
C --> D["Chair verdict<br/>(non-Claude)"]
D --> E["Tiered<br/>accept / deny"]
E --> F["Reviewed copy<br/>+ run folder"]
```
<p align="center"><img src="./docs/cards/blind-ballots.svg" width="520" alt="Anonymized cross-review: reviews are relabeled A, B, C before the bench ranks them — one model disputes its own review"></p>
**What a run produces** (in `output/<stem>-council/`):
- `review-<model>.md` × N — each model's independent review.
- `crossreview-matrix.md` — the adjudication grid plus the de-anonymized street-cred table.
- `verdict.md` — the chair's synthesis.
- `report.md` — synthesis + the full decision log + a per-call run-stats table.
- `report.html` — the deterministic renderer output (adjudication matrix, street-cred table,
findings-by-tier, cost — no chair prose). This is the default artifact handed to the user.
- For an **editable source**, the accepted edits land in `<stem>-reviewed.<ext>` next to the original.
**Optional council elements** (v2.2.0, all default off): four opt-in behaviors, offered once as a menu at launch — nothing turns on unless you name it, and the confirmation lists exactly what's on. **Chair verdict scale** *(standard since v2.2.0's follow-ups — no longer opt-in)*: the chair always closes with 3–5 hard questions and one parseable `VERDICT: Ship it | Fix these first | Fundamental rethink` line.
- **Critic seat** — one reviewer swaps to a four-pass adversarial brief (adversarial pass, edge-case hunt, consistency check, executability test). Its findings enter the same anonymized bundle as everyone else's, so the bench disciplines the critic: manufactured negativity lands Disputed and dies in the tally.
- **Expert lenses** — each reviewer takes a distinct expert perspective; you pick the panel domain (business, technical, customer, financial, or custom). Lens runs never feed the reliability ledger, and the report discloses the weakened cross-review anonymity.
- **Debate mode** — after cross-review, every Contested or Disputed finding goes back to its raiser to **defend, amend, or withdraw**, and the disputing judges re-vote. Exactly one rebuttal round, then the final tally.
- **Claude in the council** — Claude adds its own fresh review to the bundle so the bench ranks and adjudicates it. Claude is *judged* but never votes or chairs, so the verdict stays independent.
<p align="center"><img src="./docs/cards/dial-it-up.svg" alt="The four opt-in council elements as toggles — critic seat and debate on, expert lenses and Claude-in-the-council off — with the up-front run-shape disclosure"></p>
The critic and lens methodologies are adapted from the `/critic` and `/debate` agents in [John Renaldi's product-kit](https://github.com/jrenaldi79/plugin-marketplace) (MIT); the briefing boilerplate lives in [`skills/second-opinion/SEAT-BRIEFS.md`](./skills/second-opinion/SEAT-BRIEFS.md).
**Cost is disclosed up front.** Before any model launches, you see the run shape — including any enabled optional elements — for example:
> This run uses 3 council models across 2 fanout waves + 1 chair call, with critic seat + debate mode ON (~7 base runs + up to 6 rebuttal Lo que la gente pregunta sobre amicus
¿Qué es BourbonDog/amicus?
+
BourbonDog/amicus es tools para el ecosistema de Claude AI. Amicus — a multi-model AI council and ad-hoc sidecar, with Claude as orchestrator. Tiene 2 estrellas en GitHub y su última actualización registrada es del 2026-09-08.
¿Cómo se instala amicus?
+
Puedes instalar amicus clonando el repositorio (https://github.com/BourbonDog/amicus) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar BourbonDog/amicus?
+
Nuestro agente de seguridad ha analizado BourbonDog/amicus y le ha asignado un Trust Score de 79/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene BourbonDog/amicus?
+
BourbonDog/amicus es mantenido por BourbonDog. La última actividad registrada en GitHub es del 2026-09-08, con 7 issues abiertos.
¿Hay alternativas a amicus?
+
Sí. En ClaudeWave puedes explorar tools similares en /categories/tools, ordenados por popularidad o actividad reciente.
Despliega amicus en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/bourbondog-amicus)<a href="https://claudewave.com/repo/bourbondog-amicus"><img src="https://claudewave.com/api/badge/bourbondog-amicus" alt="Featured on ClaudeWave: BourbonDog/amicus" width="320" height="64" /></a>Más Tools
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
An AI skill that provides design intelligence for building professional UI/UX across multiple platforms.
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
Use Claude Code, Codex, Pi, and OpenCode and more for free (1.3B+ free tokens) from your terminal, app, IDE, or phone like OpenClaw (voice supported + ToS friendly)