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Run multi-agent dialectical deliberation for complex decisions, analysis, and creative thinking.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agora" yet — see the docs or source repo.
Use agora to dialectically analyze whether we should prioritize building an AI meeting notes feature from engineering, business, user value, risk, and long-term strategy perspectives. Provide arguments for, against, a synthesis, and a recommended roadmap.
A multi-perspective thesis-antithesis-synthesis analysis with key disagreements, overall judgment, and actionable prioritization advice.
Use agora to help me analyze whether I should leave my stable job for graduate school. Consider financial pressure, career growth, mental state, family relationships, and likely outcomes three years from now, then give a dialectical recommendation.
A deep analysis balancing practical constraints and long-term value, showing competing positions and a final recommendation.
Use agora to deliberate on this sci-fi novel premise: humans govern cities through shared dreams. Analyze it through philosophy, narrative, characters, worldbuilding, ethical conflict, and reader appeal using thesis, antithesis, and synthesis, then suggest improvements.
A multi-thinker creative review highlighting strengths, weaknesses, and concrete ways to improve the premise.
Convert Markdown into styled WeChat articles with AI images and batch publishing.
Generate 14 standardized design card formats for covers, social sharing, and editorial layouts.
Automatically gathers, analyzes, and categorizes daily AI news into brief reports.
Convert Markdown into polished WeChat article formatting for easy publishing.
Run structured multi-agent debates with real-time exchange and human moderation.
Improve complex reasoning with multi-agent debate, bias detection, and structured thinking.
Run multi-agent debates and produce consensus recommendations with ranked options.
Register MCP servers as agents and route tasks to the best one.
Keep AI coding agents architecture-aware, verified, drift-checked, and safer over long tasks.
Runs structured multi-agent debates to compare viewpoints and reach stronger conclusions.