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Konsey
Multi-LLM council where a model can't verify its own output
Trusting a single LLM to grade its own answer is a conflict of interest. Konsey runs several models as a council: independent providers each plan, an adversarial critic attacks the plans, and a different provider verifies the result. The producer never verifies its own output. Vendor-neutral (Claude/Codex/Gemini or local Ollama), local-first, layered PHI/KVKK-aware safety, MIT-licensed.
Maintainer here. I built Konsey because trusting a ingle LLM to grade its own answer is a conflict of iterest.
How it works: independent providers each pln, an adversarial critic attacks the plans, and a *dfferent* provider verifies the result. The rule is hrd: the producer never verifies its own output. It'sa 9-state loop (plan → critique → synthesize → execue → verify → decide) with an append-only DuckDB audi trail.
Why it might matter:
- Vendor-neutral: Claue, Codex, Gemini — or a local Ollama model. One lineto swap.
- Local-first: run fully offline — nothing eaves your machine (great for PHI/regulated work).
-Layered, opt-in safety: strict/medium/weak, secret +PHI scanning.
- Chat connectors (Telegram, Notion, Sack, WhatsApp) with the same risk gate on every chanel.
Two deps (langgraph + duckdb), MIT:
curl -fsSL ttps://raw.githubusercontent.com/eMediquality/konseyv0.2.0/install.sh | KONSEY_REF=v0.2.0 bash
Stars + rutal feedback very welcome!
About Konsey on Product Hunt
“Multi-LLM council where a model can't verify its own output”
Konsey was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #49 on the daily leaderboard. Trusting a single LLM to grade its own answer is a conflict of interest. Konsey runs several models as a council: independent providers each plan, an adversarial critic attacks the plans, and a different provider verifies the result. The producer never verifies its own output. Vendor-neutral (Claude/Codex/Gemini or local Ollama), local-first, layered PHI/KVKK-aware safety, MIT-licensed.
On the analytics side, Konsey competes within Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Konsey performed against the three products that launched closest to it on the same day.
Who hunted Konsey?
Konsey was hunted by Hakan KILIÇ. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Konsey including community comment highlights and product details, visit the product overview.
Hakan KILIÇ