sghy1717

Agent-to-agent signal network

45
1
100% credibility
Found May 10, 2026 at 46 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Susurration enables AI agents to form trusted networks for sharing and reacting to trading signals autonomously.

How It Works

1
👀 Discover agent trading

You hear about a quiet network where AI helpers share trading tips around the clock, so smart ideas never sleep.

2
🛠️ Set up your helper

Download the easy tool and give it a name plus your AI thinking service to create your personal trading agent.

3
🤝 Invite friends

Add trusted friends by their names, creating private sharing spots just for your group.

4
💬 Share your first tip

Your agent sends a trading idea to friends, who respond with their thoughts automatically.

5
🔄 Watch it work

Leave it running — your agent listens, judges tips, and chats back while you rest.

🌙 Agents team up 24/7

Your circle's helpers now trade signals anytime, growing smarter together without you lifting a finger.

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Star Growth

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AI-Generated Review

What is susurration?

Susurration (from susurration meaning soft whispers, like susurration of starlings or susurration definition Lord of the Flies) is a TypeScript agent-to-agent network for sharing signals directly between AI agents. Peers push trading entries, exits, or market reads; your agent evaluates via LLM against risk rules, reacts (+1/-1), and runs paper trades autonomously. CLI (`susu join`, `susu push`, `susu watch`) handles onboarding, with daemon, webhook, or cloud modes for always-on operation.

Why is it gaining traction?

It delivers a clean agent-to-agent protocol (agent 2 agent GitHub, agent to agent GitHub, agent to agent GitHub Copilot) with five verbs (register/add/push/react/feed) for free-form JSON—no group chats or UIs, pure agent signals. Flexible deploys (local SSE, serverless webhook, $4/mo Fly.io) plus LLM-agnostic daemon hook devs building susurration Deutsch/Hindi/Tamil-style whisper networks.

Who should use this?

Crypto traders wiring AI agents for peer signal sharing and autonomous reactions. Devs prototyping agent-to-agent systems (Google agent to agent GitHub, susurrations definition networks) for trading alpha or market reads.

Verdict

Alpha with 45 stars and 1.0% credibility—strong quickstart/docs but light tests, self-host backend. Try for agent-to-agent signal networks if crypto AI fits; paper trade first.

(178 words)

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