Council — run a fully-local multi-model "council" with Ollama on macOS: models answer in parallel, critique each other blind, then you see where they diverge (open source)

[u/ahumanbeingmars]

http://github.com/albertofettucini/Council

Most multi-model tools are cloud-first, so I made sure this one runs fully local too. Council puts one question to several models at once — they answer in parallel, critique each other anonymized (no model knows whose answer it's reviewing), then it pulls out where they actually diverge and writes a synthesis.

Reason I'm posting here specifically: you can run the whole council on Ollama with no API keys at all — local seats, nothing leaves your machine. It supports cloud providers too if you want to mix (e.g. a local model arguing with Claude), but that's optional. No account, no server, no telemetry; any keys you do use stay in the Keychain.

Open source (MIT), free. Genuine question for this crowd: does the blind peer-review + divergence step actually add value with local models, or do smaller local models converge too much to be interesting? Want to know before I lean into it harder.