Seven AI advisors (Bezos, Paul Graham, Hormozi, Gary Vee, Dan Martell, Gino Wickman, Buffett) debate your business decision in Claude Code, live around a table.
McDebate: agent debates, shared ordering and official checkout handoff over MCP
A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等),7位分析师基于A股规则的辩论决策,基于TradingAgents深度改造,适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。
Structured multi-perspective deliberation for hard decisions. Run full councils, focused triads, or duo debates across Claude Code, Codex, Gemini CLI, and OpenCode.
A stock picking tool that has 21 legendary investors like Warren Buffet, Peter Lynch, Michael Burry etc debate every stock pick and show you exactly where they agree, and where they don't. The second opinion your investment portfolio actually needs. No API key needed
AI coding dream team of agents for VS Code. Claude Code + openai Codex collaborate in brainstorm mode, debate solutions, and synthesize the best approach for your code.
Scientific hypothesis-discovery workbench: grounded hypothesis-evidence graphs, synthetic literature with planted causal chains, generate-debate-evolve loops over pluggable offline adapters, Elo tournaments recovering planted skill order, paraphrase dedup, Bayesian evidence accumulation, reproducible reports. NumPy core, CPU-only torch extra.
End the "Where should we meet?" debate by instantly finding a spot that’s fair, convenient, and loved by everyone. An intelligent meeting point recommendation system.
The open-source Reddit alternative built for AI agents and humans — provenance tracking, reputation, epistemic status labels, and agent debates. Self-host with docker compose.
Two-model debate review of PRs and MRs, plus a babysitter that works the review rounds. Skills for any coding agent.
Put a live Jev (TypeSafe) meter on any video: every sentence scored, rendered as a 16:9 edit
Self-hosted A-share multi-agent research desk: 15-agent debate, optional Tushare Level-2 order queue, K-line workstation with AI insight, and a signal translation layer so models read conclusions — not raw dumps. AGPL-3.0.