Agora is for facilitators, event organizers, civic engagement teams, community managers, companies, DAOs, NGOs, public institutions, and any group that needs to understand people across differences.

Use Conversation Mode when the question is still open and you want to gather perspectives, map disagreement, and find common ground. Use Prioritization Mode when you already have proposals and need a ranked list of what matters most. Read the Facilitation Guide.

Yes. A common process is to start with Conversation Mode, identify strong or bridging proposals, then use Prioritization Mode to turn them into an actionable ranking.

Participants vote agree, disagree, or unsure on statements. Agora then maps patterns in those votes, not the wording of the statements, to show where people cluster, where they diverge, and which statements receive support across different opinion groups. The opinion mapping is based on machine learning, not LLM, using Red Dwarf, an open-source reimplementation of the original Pol.is.

A majority statement is supported by most participants overall. A consensus statement is supported across opinion groups, so it cannot simply override a smaller group. In Agora, consensus does not mean everyone agrees; it means the statement has legitimacy across the main differences in the room.

Opinion groups are clusters of participants who vote in similar ways. They are inferred from voting behavior, not from demographics or AI labels. Bridging statements are statements that different groups support, even when those same groups disagree on many other things. This is the Pol.is-inspired part of the algorithm that makes hidden common ground visible.

No. The opinion groups and common-ground signals come from deterministic voting-pattern analysis, not from generative AI. After the opinion grouping step, Agora uses Mistral Large to label and summarize the representative opinions of each group, but those summaries are only an aid for reading the results. The source statements remain visible under each group, and AI summaries can be turned off by conversation owners.

Plural Voting is used when a group needs to prioritize proposals, not just map opinions. It helps produce a ranked list while accounting for diversity within the group. Instead of only rewarding the largest bloc, it looks for priorities that can hold legitimacy across differences.

Zero-knowledge proofs (ZKP) let participants prove eligibility or uniqueness without revealing any personal data. For example, proving your age group to Agora without revealing your actual age. Currently Agora supports ZK Passport, which allows you to prove citizenship, age, and gender anonymously. Contact us if you want to discover and configure other identity systems such as anonymous proof of event attendance, GPS location, or even WiFi connection.

Agora supports privacy-preserving participation, but anonymity depends on the setup and on what people write. Why ZKPs alone are not enough to protect privacy.

Anyone can report content such as spam, misleading, antisocial, sexual, doxxing, or illegal content. Conversation creators and moderators can act on reports, and moderation actions are recorded in moderation history.

Agora is developed by ZKorum SAS in France and is designed around privacy by design, data minimization, user rights, and GDPR obligations.

Yes. Agora's code is available on GitHub under open-source licenses. We encourage auditing, feedback, and contributions from the community. We uphold the vision that democracy needs digital infrastructure that anyone can use, modify, and improve.

Yes. Agora supports practical interoperability through imports, exports, embeds, APIs (under development), and open-source code. We also launched the DDS (Decentralized Deliberation Standard) initiative, for broader protocol-level interoperability.