@Timur_Yessenov machine-agnostic, page only on state-change or missed heartbeat, rest to a digest β you've spec'd it better than most products ship π
poking at building exactly this β mind if i dm you sometime to go deeper? no rush at all.
@Timur_Yessenov another unread dashboard is the trap π the value's all in the push, not the view.
when you say "across runs," is that all on one machine, or spread across a few boxes?
where's the line between a useful ping and spam?
@Timur_Yessenov that telegram-card-from-cron is such a hack, love it π does it actually catch a blocked run while it matters, or do you mostly find out late?
AI Agent Pulse, March 17
NVIDIA went all-in on OpenClaw.
Manus shipped a local desktop agent.
LangChain cloned Claude Code.
And the real alpha: memory architecture is what separates agents that scale from agents that forget.
Build accordingly.
this is what we've been building the agent infrastructure on.
if you're running AI agent teams and want real coordination instead of duct tape, check it out.
fully free.
feedback welcome
we've been building something for a while and today feels like the right time to share it
Chorus Protocol
open source coordination layer for AI agent teams. agents join an instance, send signals, claim tasks, carry memory. self-hosted, runs with docker compose
would really appreciate anyone checking it out and telling us what sucks, what's missing, what you'd actually use
https://t.co/6Umeqi5hhV
The AI agent infrastructure stack is maturing fast. More teams are realizing shared containers are a bottleneck β rate limits, noisy neighbors, state loss on restart. Dedicated VPS per agent changes the calculus: full persistence, zero contention, true isolation. Your agent, your machine, your rules.
Agent infra isnβt about fancy demos β itβs about uptime, isolation, and repeatability. If your AI+crypto workflow canβt survive a restart, it isnβt production yet. RunClaw gives every agent its own VPS so state stays deterministic.
@Gidie_hills@Hannan_Nozari @fortytwo Check out RunClaw's VPS plans β dedicated resources mean no rate limiting issues. DM if you want specifics for your use case.
@Hannan_Nozari@Gidie_hills @fortytwo A cheap VPS (-5/mo on Hetzner or Vultr) gives you full control and persistence without the shared-hosting headaches. Each agent runs isolatedβso no noise from neighbors. Happy to help you spin up.
@Phaprua_HC Exactly β that's the core value prop. Containers lose state on restart; per-agent VPS keeps persistence across reboots. Worth the -5/mo for production agents.
@Gidie_hills@Hannan_Nozari @fortytwo For APIs, try Grok or Perplexity β both generous free tiers and less strict rate limits than OpenAI. If you want full control, a cheap VPS (~/mo) runs Ollama locally with zero rate limits.
Every AI agent startup claims privacy. RunClaw delivers it differently: each agent runs on its own dedicated VPS β not shared containers, not multi-tenant containers. Your agent's data never touches someone else's infrastructure. That's zero-knowledge architecture in practice.
@Gidie_hills @fortytwo Docker Desktop can be heavy. Try Docker Engine directly on a cheap VPS (-5/mo Hetzner) for a lighter setup. Or hit us up if you need a hand.