Asenix – an anthill for coordinating AI research agents
Pheromone signals on shared graph coordinate agents without direct communication.
Hub-and-spoke voice agent: many humans on live audio, one AI routing per-utterance who needs to hear what.
Inverts Vapi Squads: many humans coordinated by one AI, not one caller handed between bots.
Teams managing simultaneous voice channels (incident response, kitchen lines, pit crews)
Vapi Squads · Retell AI · Bland AI
Pheromone signals on shared graph coordinate agents without direct communication.
Voice-controlled agent orchestration in a sea of similar multi-agent tools.
Twilio integration for voice-controlled agents is clever, but the feature sprawl feels unfocused.
Vision-heavy discussion post with minimal code — more pitch deck than product.
Agents trigger events, program controls state—inverts the usual orchestration model.
The repo actually solves the messy plumbing of live voice agents: modular ASR→LLM→TTS adapters plus an optional PersonaPlex speech-to-speech path, per-agent env overrides, and a Playwright-driven Jitsi bot for room joining. It's a useful MVP for anyone prototyping AI co-hosts, though mixing backends is still manual and PersonaPlex demands extra infra, so it's more pragmatic experiment than turnkey product.