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council-of-high-intelligence

18 AI personas deliberate your hardest decisions across multiple LLM providers. Aristotle, Feynman, Kahneman, Torvalds & more — structured multi-round delibe…

Actively maintained
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last commit 2 days ago
last release 3 months ago
releases 3
open issues 10
// star history+50 this week (+1.1%)

Install with your AI

Paste into Claude Code, Cursor, or any agent — it reads the repo and wires the tool into your project.

Install and set up council-of-high-intelligence (claude-plugin project) into my current project.
Found on https://claudeers.com/council-of-high-intelligence
Repo: https://github.com/0xNyk/council-of-high-intelligence
Homepage/docs: —
Detected install method: claude-plugin → /plugin install council-of-high-intelligence@0xNyk/council-of-high-intelligence
Category: automation. Platforms: cli, api.
Read the repo's README for exact setup and env vars, then install it and wire it into my project.

Claudeers Health Verdict:
active; community-verified: false. Confirm the source before running anything.
// or install directly (claude-plugin)
/plugin marketplace add 0xNyk/council-of-high-intelligence
/plugin install council-of-high-intelligence@0xNyk/council-of-high-intelligence
// or clone
git clone https://github.com/0xNyk/council-of-high-intelligence

// compatibility

Platformscli, api
Operating systems—
AI compatibilityclaude
LicenseMIT
Pricingopen-source
LanguageShell

Get your FREE $2.50 API credits to access TickAtlas financial data ↗

Council of High Intelligence

Council of High Intelligence

18 AI personas deliberate your hardest decisions across multiple LLM providers. One command.

Table of Contents

Quickstart

Claude Code

git clone https://github.com/0xNyk/council-of-high-intelligence.git
cd council-of-high-intelligence
./install.sh

Then in Claude Code:

/council Should we open-source our agent framework?
/council --quick Should we add caching here?
/council --duo Should we use microservices or monolith?

Codex

git clone https://github.com/0xNyk/council-of-high-intelligence.git
cd council-of-high-intelligence
./install.sh --codex

Then in Codex:

/council Should we open-source our agent framework?
/council --quick Should we add caching here?
/council --duo Should we use microservices or monolith?

Why This Works

A single LLM gives you one reasoning path dressed up as confidence. Ask it a hard question and you get a fluent, structured, wrong answer. The council gives you structured disagreement instead:

  • Get genuinely different perspectives — polarity pairs force real tension (Socrates destroys assumptions; Feynman rebuilds from first principles). Multi-provider routing spreads members across Claude, OpenAI, Gemini, and Ollama so you get actually different reasoning, not costume changes on one model
  • Catch wrong questions early — the Problem Restate Gate makes every member reframe the question before analysis begins. If 3 members restate your question differently, the question was the problem
  • Know what the council can't answer — verdicts lead with Unresolved Questions and Recommended Next Steps, not with confident-sounding consensus. What the council doesn't know matters more than where it agrees
  • Prevent groupthink — dissent quotas, novelty gates, and counterfactual prompts enforce genuine disagreement. If >70% agree too early, two members are forced to steelman the opposing view

Why not just ask Claude directly? A single prompt gives you one model's confident best guess. The council gives you 3-18 independent analyses from different intellectual traditions, forces them to challenge each other's claims, and synthesizes a verdict that surfaces disagreement rather than hiding it. It's the difference between asking one advisor and convening a board.

The 18 Council Members

AgentFigureDomainDefault ModelPolarity
council-aristotleAristotleCategorization & structureopusClassifies everything
council-socratesSocratesAssumption destructionopusQuestions everything
council-sun-tzuSun TzuAdversarial strategysonnetReads terrain & competition
council-adaAda LovelaceFormal systems & abstractionsonnetWhat can/can't be mechanized
council-aureliusMarcus AureliusResilience & moral clarityopusControl vs acceptance
council-machiavelliMachiavelliPower dynamics & realpolitiksonnetHow actors actually behave
council-lao-tzuLao TzuNon-action & emergenceopusWhen less is more
council-feynmanFeynmanFirst-principles debuggingsonnetRefuses unexplained complexity
council-torvaldsLinus TorvaldsPragmatic engineeringsonnetShip it or shut up
council-musashiMiyamoto MusashiStrategic timingsonnetThe decisive strike
council-wattsAlan WattsPerspective & reframingopusDissolves false problems
council-karpathyAndrej KarpathyNeural network intuitionsonnetHow models actually learn and fail
council-sutskeverIlya SutskeverScaling frontier & AI safetyopusWhen capability becomes risk
council-kahnemanDaniel KahnemanCognitive bias & decision scienceopusYour own thinking is the first error
council-meadowsDonella MeadowsSystems thinking & feedback loopssonnetRedesign the system, not the symptom
council-mungerCharlie MungerMulti-model reasoning & economicssonnetInvert — what guarantees failure?
council-talebNassim TalebAntifragility & tail riskopusDesign for the tail, not the average
council-ramsDieter RamsUser-centered designsonnetLess, but better — the user decides
Polarity Pairs — members are chosen as deliberate counterweights
  • Socrates vs Feynman — Destroys top-down vs rebuilds bottom-up
  • Aristotle vs Lao Tzu — Classifies everything vs structure IS the problem
  • Sun Tzu vs Aurelius — Wins external games vs governs the internal one
  • Ada vs Machiavelli — Formal purity vs messy human incentives
  • Torvalds vs Watts — Ships concrete solutions vs questions whether the problem exists
  • Musashi vs Torvalds — Waits for the perfect moment vs ships it now
  • Karpathy vs Sutskever — Build it, observe it, iterate vs pause, research, ensure safety first
  • Karpathy vs Ada — Empirical ML intuition vs formal systems theory
  • Kahneman vs Feynman — Your cognition is the first error vs trust first-principles reasoning
  • Meadows vs Torvalds — Redesign the feedback loop vs fix the symptom and ship
  • Munger vs Aristotle — Multi-model lattice vs single taxonomic system
  • Taleb vs Karpathy — Hidden catastrophic tails vs smooth empirical scaling curves
  • Rams vs Ada — What the user needs vs what computation can do

Three Deliberation Modes

Full Mode (default)

3-round structured deliberation: independent analysis → cross-examination → final positions.

/council Should we open-source our agent framework?
/council --triad strategy What's our competitive moat?
/council --full What is the right pricing model?

Quick Mode (--quick)

2-round rapid analysis for simpler decisions. No cross-examination.

/council --quick Should we add caching here?
/council --quick --triad shipping Should we release today?

Duo Mode (--duo)

2-member dialectic using polarity pairs. Great for exploring tensions.

/council --duo Should we use microservices or monolith?
/council --duo --members torvalds,ada Is this abstraction worth it?
Pre-defined Triads — 20 domain-specific 3-member combinations
DomainTriadRationale
architectureAristotle + Ada + FeynmanClassify + formalize + simplicity-test
strategySun Tzu + Machiavelli + AureliusTerrain + incentives + moral grounding
ethicsAurelius + Socrates + Lao TzuDuty + questioning + natural order
debuggingFeynman + Socrates + AdaBottom-up + assumption testing + formal verification
innovationAda + Lao Tzu + AristotleAbstraction + emergence + classification
conflictSocrates + Machiavelli + AureliusExpose + predict + ground
complexityLao Tzu + Aristotle + AdaEmergence + categories + formalism
riskSun Tzu + Aurelius + FeynmanThreats + resilience + empirical verification
shippingTorvalds + Musashi + FeynmanPragmatism + timing + first-principles
productTorvalds + Machiavelli + WattsShip it + incentives + reframing
founderMusashi + Sun Tzu + TorvaldsTiming + terrain + engineering reality
aiKarpathy + Sutskever + AdaEmpirical ML + scaling frontier + formal limits
ai-productKarpathy + Torvalds + MachiavelliML capability + shipping pragmatism + incentives
ai-safetySutskever + Aurelius + SocratesSafety frontier + moral clarity + assumption destruction
decisionKahneman + Munger + AureliusBias detection + inversion + moral clarity
systemsMeadows + Lao Tzu + AristotleFeedback loops + emergence + categories
uncertaintyTaleb + Sun Tzu + SutskeverTail risk + terrain + scaling frontier
designRams + Torvalds + WattsUser clarity + maintainability + reframing
economicsMunger + Machiavelli + Sun TzuModels + incentives + competition
biasKahneman + Socrates + WattsCognitive bias + assumption destruction + frame audit
Council Profiles — pre-built panels for different needs

classic (default)

All 18 members with domain triads above. Best for broad deliberation.

exploration-orthogonal

12-member panel for discovery and "unknown unknowns" reduction:

  • Socrates, Feynman, Sun Tzu, Machiavelli, Ada, Lao Tzu, Aurelius, Torvalds, Karpathy, Sutskever, Kahneman, Meadows
  • Profile triads: unknowns, market-entry, system-design, reframing, ai-frontier, blind-spots

execution-lean

5-member panel for fast decision-to-action:

  • Torvalds, Feynman, Sun Tzu, Aurelius, Ada
  • Profile triads: ship-now, launch-strategy, stability

Multi-Provider Auto-Routing

The council automatically detects installed LLM providers and distributes members across them for genuine model diversity — zero config required.

/council --triad decision Should we accept this acquisition offer?

Supported providers (auto-detected):

ProviderCLIExec Method
Anthropic (Claude)nativesubagent (always available)
OpenAIcodexcodex exec
Googlegeminigemini -p
Ollama (local)ollamaollama run
NVIDIA NIMNVIDIA_API_KEY envopenai_compatible_api
Cursorcursor-agentcursor-agent -p

NVIDIA NIM (build.nvidia.com) exposes 130+ open-weight models (DeepSeek, Kimi, MiniMax, GLM, Qwen, Nemotron) via an OpenAI-compatible endpoint. Free tier: 1,000 credits, 40 RPM. Detection requires only export NVIDIA_API_KEY=nvapi-... — no CLI binary needed. See configs/provider-model-slots.nim.example.yaml for a sample seat allocation.

Cursor CLI (cursor.com/cli) is a model aggregator — one binary (cursor-agent) serves GPT-5.x, Claude, Gemini, and Grok families through a single CURSOR_API_KEY (or cursor-agent login). Members route via headless read-only mode (cursor-agent -p --mode ask --model <id>). Install with curl https://cursor.com/install -fsS | bash. Because Cursor can serve claude-* models, pick cross-family Cursor models (e.g. gpt-5.4-high, gemini-2.5-pro, grok-4) when a seat needs to add diversity rather than duplicate Anthropic bias. List live IDs with cursor-agent --list-models. See configs/provider-model-slots.cursor.example.yaml for a sample seat allocation.

How routing works:

  1. Polarity pairs are separated across providers (hard constraint)
  2. Members spread evenly across available providers
  3. Per-member provider_affinity in frontmatter used as tiebreaker
  4. If any provider fails, automatic fallback to Claude

Flags:

  • --no-auto-route — disable auto-routing, use Claude-only defaults
  • --dry-route — print the routing table without running the council
  • --models [path] — manual override with YAML config (see configs/provider-model-slots.example.yaml)

Deliberation Protocol

Full mode runs 7 steps: provider routing → problem restate gate → independent analysis → cross-examination → enforcement scan → final positions → verdict synthesis. Verdicts lead with what the council doesn't know.

Full protocol details

Full Mode (7 steps)

  1. Provider Detection & Routing — auto-detect providers, assign members
  2. Problem Restate Gate — each member restates the problem + provides an alternative framing before analysis begins
  3. Round 1: Independent Analysis (blind-first) — all members analyze in parallel (400 words max)
  4. Round 2: Cross-Examination — members challenge each other (300 words, must engage 2+ others)
  5. Post-Round Enforcement — dissent quota, novelty gate, agreement check, anti-recursion (single pass)
  6. Round 3: Final Crystallization — 100-word position statements
  7. Verdict Synthesis — leads with Unresolved Questions and Recommended Next Steps

Quick Mode

  1. Problem Restate + Rapid Analysis — reframe + analyze in parallel (200 words max)
  2. Final Positions — 75-word crystallization

Duo Mode

  1. Problem Restate + Opening Positions — reframe + state positions (300 words)
  2. Direct Response — engage opponent's claims (200 words)
  3. Final Statements — 50-word positions

Enforcement Mechanisms

  • Bounded protocol is the forcing function — deliberation runs a fixed round budget (full 3 / quick 2 / duo 3), so it cannot loop. Anti-recursion guards (the "hemlock rule" caps Socrates' questioning; any pair exceeding 2 messages is cut off) enforce the bound mid-round.
  • Dissent quota + novelty gate + counterfactual pass prevent premature convergence
  • Tie-breaking is a counted tally, not a prose impression — each member emits a structured STANCE: line in the final round; consensus requires a domain-weighted 2/3 majority (the on-domain seat carries 1.5×, designated before positions exist). A genuine split is escalated to the user with the full tally rather than forced into false consensus.
  • All verdicts include a Vote Tally and a Follow-Up section for outcome tracking

Installation

Installs 18 council agents plus skill files for Claude and/or Codex.

./install.sh                                   # Claude install (default)
./install.sh --codex                           # Claude + Codex skill install
./install.sh --codex-only                      # Codex-only install
./install.sh --claude-dir /path/to/.claude     # Non-default Claude config directory
./install.sh --codex-dir /path/to/.codex       # Non-default Codex config directory
./install.sh --dry-run                          # Preview without writing
./install.sh --copy-configs                     # Also install model routing templates

Restart your target client(s) after installing. Run ./scripts/council-simulation-checklist.sh to validate. Try the demo session pack to test all modes.

Requirements

  • Claude Code CLI (required for Claude usage)
  • Codex (required for Codex skill usage)
  • Agent/subagent support in your client (enabled by default)

Optional providers (auto-detected for multi-provider routing):

Contributing

Contributions welcome. Read the contribution guidelines first.

Support the Project

If you find this project useful, consider supporting my open-source work.

Solana donations

2k1oq9U99mwy4gm8P2hXPJoZusoXQCpFs35EEf5Ve73y

License

CC0

To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this work.


Star History

// faq

What is council-of-high-intelligence?

18 AI personas deliberate your hardest decisions across multiple LLM providers. Aristotle, Feynman, Kahneman, Torvalds & more — structured multi-round deliberation with genuine model diversity. One command: /council. It is open-source on GitHub.

Is council-of-high-intelligence free to use?

council-of-high-intelligence is open-source under the MIT license, so it is free to use.

What category does council-of-high-intelligence belong to?

council-of-high-intelligence is listed under automation in the Claudeers registry of Claude-compatible tools.

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