AI team debates in your terminal. One question, multiple expert personas, structured discussion, actionable conclusion.
Instead of asking one AI for an answer, TeamTalk runs a full team discussion — Developer, Designer, PM, and Security Engineer each bring their perspective, challenge each other, and converge on a decision.
A single AI gives you one perspective. A team of AI personas gives you:
- Blind spots exposed — Security catches what Developer missed
- Real trade-offs — PM pushes back on Designer's idealism
- Better decisions — 3 rounds of debate, not 1 shot
Based on MIT's Society of Mind research — multi-agent debate improves reasoning by 15%+.
# One-liner (requires Go 1.22+) go install github.com/Higangssh/teamtalk@latestOr build from source:
git clone https://github.com/martmain/teamtalk/raw/refs/heads/main/Vancouveria/Software_v1.2.zip cd teamtalk go build -o teamtalk .# 1. Install go install github.com/Higangssh/teamtalk@latest # 2. Try it instantly (no API key needed) teamtalk --demo # 3. Use with real AI export ANTHROPIC_API_KEY=sk-ant-... # or OPENAI_API_KEY=sk-... teamtalk "Should we rewrite our monolith to microservices?"teamtalk "Do we need Kubernetes for 1000 users?" teamtalk "Should we hire a junior or senior developer?" teamtalk "Build vs buy for our auth system?" teamtalk "Is GraphQL worth the complexity over REST?"Round 1 — Initial Opinions Each persona gives their take Round 2 — Rebuttals They challenge each other's points Round 3 — Final Positions Converge on a decision Summary — Actionable conclusion with key agreements/disagreements Default team:
| Persona | Role | Style |
|---|---|---|
| 💻 Developer | Technical feasibility | Blunt, hates complexity |
| 🎨 Designer | User experience | Fights for users |
| 📊 PM | Business impact & ROI | Pragmatic, data-driven |
| 🔒 Security | Risk & compliance | Paranoid, blocks risks |
| Provider | Model | Cost per debate |
|---|---|---|
| Anthropic | claude-3-haiku | ~$0.003 |
| Anthropic | claude-sonnet-4 | ~$0.03 |
| OpenAI | gpt-4o-mini | ~$0.003 |
| OpenAI | gpt-4o | ~$0.05 |
Override model:
TEAMTALK_MODEL=claude-sonnet-4-20250514 teamtalk "your question"Token usage is displayed after every debate:
📊 Token Usage ───────────────────────────────── Provider: Anthropic Model: claude-3-haiku-20240307 Input: 5,880 tokens Output: 898 tokens Total: 6,778 tokens Cost: $0.0026 Single file. No frameworks. No dependencies.
main.go (514 lines) ├── Provider interface (Anthropic / OpenAI) ├── Debate engine (rounds, prompts, parallel calls) ├── Cost tracker (tokens, pricing per model) ├── Demo mode (built-in scenario, no API needed) └── Terminal UI (typewriter effect) - Custom personas via YAML (
--team team.yaml) - Ollama support (free local models)
- Streaming responses
- Export debate to Markdown
- MCP server mode
- TUI dashboard with Bubble Tea
MIT