AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
Decision-grade conversational intelligence for your highest-stakes calls. Private, live, and yours alone, on your own machine.
Developer toolsPython · HTMLGitHub @genriqOnlineOwner unconfirmed
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Event-driven framework for real-time conversational AI agents — a swarm of cheap, specialized LLM observers that watch a live conversation and surface the one insight worth saying
Taken from the repository README
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A swarm of cheap, specialized LLM observers that watch a live conversation and surface the one insight worth saying. Most agents stay silent most of the time; that restraint is the product.
Version: 3.2.0 · Status: Beta, production-hardened (every documented contract is CI-gated; see docs/PROCESS.md)
Note: This is a separate, standalone library, designed to be embedded in any host application that needs real-time conversation agents — a web server, a desktop app, a CLI tool.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
A swarm of cheap, specialized LLM observers that watch a live conversation and surface the one insight worth saying. Most agents stay silent most of the time; that restraint is the product.
Version: 3.2.0 · Status: Beta, production-hardened (every documented contract is CI-gated; see docs/PROCESS.md)
Note: This is a separate, standalone library, designed to be embedded in any host application that needs real-time conversation agents — a web server, a desktop app, a CLI tool.Read the full README ↗