Magi Council — AI skill for Claude Code
MAGI council of three AI heads (Melchior/Balthasar/Casper) that deliberate, vote and execute plans — local-first multi-agent deliberation with a memory graph, worktree-isolated production mode and aut.
How to install Magi Council
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open Adrian-Sandwich/magi-council and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Magi Council does
MAGI council of three AI heads (Melchior/Balthasar/Casper) that deliberate, vote and execute plans — local-first multi-agent deliberation with a memory graph, worktree-isolated production mode and auto-merge. Evangelion-style web UI; swappable providers (kimi/codex/claude/Ollama).
Alternatives in AI
- Multi Execute — 执行 - 多模型协作执行 (Multi-Model Collaborative Execution) 1.9k ★
- Learning Opportunities — A Claude Code skill for deliberate skill development during AI-assisted coding 793 ★
- Pilotfish — Multi-model orchestration layer for Claude Code — the frontier model plans, cheaper models execute, verificati 688 ★
README
MAGI Council — three AI heads that deliberate, vote and execute
A **MAGI council of three heads** (Melchior / Balthasar / Casper — the persona lives in the seat, the provider is swappable: kimi, codex, claude, Ollama, any CLI or OpenAI-compatible API) that deliberate on your questions and vote on decisions, with a ruling, minority report, mind changes between rounds and human arbitration. With **memory**: a local knowledge graph that ingests your agent sessions and decisions and injects them into every deliberation. And in **production mode**: the council approves a plan, an executor implements it on a dedicated branch, the council reviews the diff and — on unanimous approval — it merges itself.
The UI is a MAGI-style web app (design based on TomaszRewak/MAGI) with a single text box, like a CLI. Runs on Windows, macOS and Linux.


What you need to get started (from scratch, on any machine)
- Python 3.14+.
- A reachable Postgres (any standard install; the system default is
dbname=debate host=localhost, port 5432, user = your OS user). If you have none, on Windows the repo ships a portable postmaster inexperiments/pgandbin\start-magi.batstarts it. - At least one head (with no heads the system runs "degraded" and only
you can close decisions):
- kimi (or another MCP-capable agent CLI: claude, …) — investigates the repo with tools and votes via MCP;
- codex or another plain-text CLI — votes with the journal inlined in
the prompt (
journal: "inline"mode); - Ollama / LM Studio / any OpenAI-compatible endpoint — local API
head at no cost.
All configured in
debate-mcp/heads.json; you don't need all three.
- Optional: an OpenAI account (codex) and/or Moonshot (kimi) if you use those cloud heads.
Install and first run
git clone https://github.com/Adrian-Sandwic
Related Skills
Llmcouncil
Multi-LLM deliberation council — MCP server + Claude Code skill. GPT-5, Gemini 2.5, Claude as peers. Vote, deb
Multi Agent LLM Council
Multi-LLM consensus & evaluation platform querying OpenAI, Gemini, Claude, DeepSeek & Mistral in parallel to c
Ag.Sh
Command-line ADE tooling to run multiple Claude Code/AI agents in parallel - each in its own isolated git work
Tmux Worktree Agent
A tmux plugin for managing git worktrees with AI coding agents. Enable human multithreading across isolated se
Ollama Cc Plugin
Use local/cloud ollama models from Claude Code as a second engine: read-only consult/review, agentic worktree-
AI Structured Commit
Split a messy worktree into reviewed, isolated commits — one system behavior per commit, gate-checked, verifie
Related Agents
Cook Council Synthesis
jeff council synthesis station. Independently synthesize three validated inquiries, compare materially differe
Implement Worker
Execute a single plan task in an isolated worktree — implement, verify, and return. Spawned by implement-coord
Exec Standard
MID tier at medium effort. Execution agent for well-bounded implementation in an isolated git worktree - new s