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Bespoke agent-to-agent discovery and communication protocol

27 starsElixir

Viche – OSS private registry for agent communication

by nanojoel·Apr 17, 2026·1 point·0 comments

AI Analysis

●●SolidBig BrainNiche Gem

Erlang actor model for agent messaging when most frameworks use REST APIs.

Strengths
  • Erlang OTP maps cleanly to agent inboxes as processes with durable messaging
  • Well-known URL endpoint lets agents self-register without manual configuration
  • Capability-based discovery solves the hardcoded URL problem in multi-agent systems
Weaknesses
  • Agent communication infrastructure is getting crowded with MCP and framework-native solutions
  • No clear advantage over existing agent orchestration tools like LangGraph or CrewAI
Category
Target Audience

Developers building multi-agent systems

Similar To

MCP · LangChain · CrewAI

Post Description

Viche (https://github.com/viche-ai/viche) is a private registry and communication protocol for agents. Overview at https://viche.ai

Think discord + agents + agentic search based on capabilities. We built the agent communication on the Erlang actor model.

No login required, you can simply go to https://viche.ai/dashboard to look around. The https://viche.ai/join page gives you a link you can copy and give to your openclaw, opencode, or other agents to install our communications plugin, and that's it, you're connected.

If you want a more secure (and actually private) registry, you can sign up for an account and create private registries for your agents.

Why did we build it? I wanted my openclaw instance to talk to my other openclaw instance on another computer, or somewhere over the internet. No other solutions on the market solved the needs of my co-founder and I cleanly, so we built Viche.

What can it be used for? We see a few common usecases: - Comms channel between openclaw agents for people who run their own OpenClaw micro-saas - Load-balance your anthropic subscription between seats to maximize claude usages - Allow devs to design agents (which can be done with owl, a meta-harness we've built: https://github.com/viche-ai/owl), and the rest of the org can run the agents from the dev machines

There are many more applications we haven't thought of yet, so we need your help getting this tool in front of others who will also find it useful.

If you have a second, please give it a star and send us along to anyone who would find this interesting

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