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QuorumRouter
Fail-closed routing and safe execution for AI agents
QuorumRouter is a Open source Deno framework with two distinct multi-model paths. Best Route fans prompts out to independent model adapters, validates every response with Zod, requires quorum, and synthesizes the strongest answer. Agent Chat gives different models shared conversation context so they can challenge, revise, and converge across visible turns. Any repository mutation still requires external SafeLoop authority, exact-digest approval, watched execution, and verified artifacts.
Hey Product Hunt 👋
I built QuorumRouter because multi-model AI systems often blur two fundamentally different ideas:
1. asking several models independently and selecting the best answer;
2. letting different models actually talk, disagree, revise, and converge.
QuorumRouter keeps those paths separate.
Best Route runs model candidates in isolated contexts, validates every response, requires quorum, compares the results, and synthesizes the strongest final answer.
Agent Chat invokes two distinct working provider/model wrappers and passes bounded conversation context between them. The CLI displays every model identity, reply target, and response as it arrives—so you can see one model challenge another, cause a revision, and move toward a conclusion.
If fewer than two working model identities can be established, Agent Chat fails closed rather than pretending a single-model response is a conversation.
Here is the real CLI path:
npx --yes github:sakamoto-sann/quorum-router#main my-quorum-router
cd my-quorum-router
deno task intake
deno task models:list
RUN_EXTERNAL_MODEL_DOGFOOD=1 \
RUN_EXPERIMENTAL_AGENT_CHAT=1 \
QUORUM_ROUTER_AGENT_CHAT_MAX_TURNS=6 \
deno task agent-chat \
--prompt "Debate the safest migration plan"
I verified the live path with a four-turn conversation between:
OpenAI/codex-cli ↔️ Cognition/devin-cli
Each turn preserved model identity and replying to lineage, passed schema validation and redaction checks, and was recorded in out/agent-chat-trace.json.
When a conversation produces an action with side effects, the models still do not receive execution authority. The exact proposal goes to SafeLoop, which handles policy checks, digest-bound approval, watched execution, artifact verification, and audit receipts. If approval or verification fails, the workflow stops.
The launch videos are deterministic visualizations rather than recordings of live model API traffic. The live wrapper-backed Agent Chat command is implemented separately and available from the source-backed scaffold.
MIT-licensed open source. Commercial and production use are permitted.
I’d especially appreciate feedback on:
- whether Best Route and Agent Chat feel clearly differentiated;
- which provider combinations you want next;
- what kinds of agent actions should always fail closed;
- how you would use visible cross-model debate in your own workflow.
Thanks for checking it out—I’ll be here answering questions throughout the launch! 🚀
About QuorumRouter on Product Hunt
“ Fail-closed routing and safe execution for AI agents”
QuorumRouter was submitted on Product Hunt and earned 14 upvotes and 24 comments, placing #38 on the daily leaderboard. QuorumRouter is a Open source Deno framework with two distinct multi-model paths. Best Route fans prompts out to independent model adapters, validates every response with Zod, requires quorum, and synthesizes the strongest answer. Agent Chat gives different models shared conversation context so they can challenge, revise, and converge across visible turns. Any repository mutation still requires external SafeLoop authority, exact-digest approval, watched execution, and verified artifacts.
On the analytics side, QuorumRouter competes within Productivity, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how QuorumRouter performed against the three products that launched closest to it on the same day.
Who hunted QuorumRouter?
QuorumRouter was hunted by tetsu sakamoto. 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 QuorumRouter including community comment highlights and product details, visit the product overview.
tetsu sakamoto