#Agent Orchestration

Multi agent orchestration means you need to manage multiple AI’s efficiently. Speech to text on voice dictation make it so I can fly through agent orchestration and give off commands fast. @onresonant is 3x faster in short phrases than cloud hosted solutions that take your data and train on your voice. (And has so many fun features coming up) #ai #tech #vibecoding

⬇️ Me and @speedy_devv have been building like this for months now. Comment “AGENT” and I’ll send it over He does most of the engineering. I mainly handle distribution. Between us we run an AI orchestration system that covers close for everything at this point… database, API, frontend, testing, and deployment. Each agent only touches its own scope. They don’t step on each other’s work. One orchestrator coordinates everything. The output we’re getting with two people and this setup would have required a 15-20 person team two years ago. And we’re moving faster because there’s no meetings, no bureaucratic mess, no waiting. This is exactly what we built buildthisnow.com around.

Stop paying full price for Claude Code when 90% of your tasks don’t need Opus. RuFlow is the open-source orchestration platform with 14,000+ GitHub stars that turns Claude Code into a full AI engineering team. Instead of running one agent at a time, it deploys up to 60 specialized agents — planners, coders, testers, security reviewers — all working in parallel and sharing the same memory. The real unlock is smart routing. Simple tasks like variable renames and type additions get handled instantly by a built-in WASM engine at zero cost. Medium tasks go to cheaper models like Haiku or Sonnet. Only the complex, multi-file architecture work touches Opus. That’s how you hit 75% savings without losing quality. It also learns. RuFlow’s self-learning memory stores successful patterns using sub-millisecond vector search and a knowledge graph — so it stops repeating mistakes and gets faster with every session. Vanilla Claude Code resets every time. This doesn’t. Setup takes under a minute. Clone the repo, paste into Claude Code, follow the install steps. Open source. Free. MIT licensed. Comment FLOW #RuFlow #ClaudeCode #AIAgents ALWAYS review skills before installing. Claude does a good job of catching security concerns, but always do your due diligence before installing any skills.

Most people don’t know this, but… AI agents can now live in their own pixel RPG world. Before: Terminal logs and dashboards that hide real behavior. After: Five pixel agents walk around stations, hold unscripted council meetings, and debate live system state with four different models. The bridge? Single HTML + Phaser file running on a Mac Mini. Watch them pivot strategies in real time instead of reading logs. #AIAgents #RPGAI #MultiAgentAI #AgentOrchestration #CreativeAI

Control your AI agents like NASA. No more scattered workflows. Stop guessing your AI costs. Here’s the OpenClaw play 👇 → Manage massive agent fleets → Real-time task tracking → Full cost monitoring → Unified workflow orchestration → 100% open-source and free The future of AI orchestration is here. Take command of your agents today. Want the full guide? DM me. #AI #OpenSource #AIAgents #Tech #Automation

I ran 15 AI agents from one prompt using Codex CLI + Intent. The harness matters more than the model. Comment “Sigma” to learn how to use it #CodingWithAI #CodexCLI #Intent #AgentOrchestration #AIAgents SubAgents ClaudeCode AICoding DevTools VibeCode BuildInPublic SoftwareEngineering

Andrej Karpathy, former Tesla AI director and one of the most influential voices in modern AI, says most agent failures are not capability limits but user errors. In his view, the problem is usually weak instructions, poor tool setup, or inefficient orchestration. He argues the real shift is toward working in macro actions. Instead of micromanaging prompts, developers should design systems where multiple agents handle research, coding, and planning in parallel over longer time horizons. 👉 Follow @uncover.ai to stay updated with the latest AI news — Media: No Priors

We are ☝️🤓

⬇️ Comment “AGENT” and I’ll send it. Me and @speedy_devv have been building like this for months now. He does most of the engineering. I mainly handle distribution. Between us we run an AI orchestration system that covers close for everything at this point… database, API, frontend, testing, and deployment. Each agent only touches its own scope. They don’t step on each other’s work. One orchestrator coordinates everything. The output we’re getting with two people and this setup would have required a 15-20 person team three years ago. And we’re moving faster because there’s no meetings, no bureaucratic mess, no waiting. This is exactly what we built buildthisnow.com around.

Perplexity computer vs openclaw. Probably not the best comparison but if you are non technical, don’t want to set up openclaw, want things to get done without clicking on permissions all the time and want multi agent orchestration and have budget to test then it may be worth a try. Otherwise stick to openclaw, Claude code #ai #articialintelligence #brandnat

Comment “RAG” and I’ll send you the exact Agentic RAG workflow I’m using. Agentic RAG changes everything. It is not just retrieval, it is reasoning. Traditional automations fail because they rely on static data. This system thinks, searches, and acts dynamically across your entire knowledge base. It is the difference between an assistant that repeats and an agent that learns. In this guide, I show why every other workflow collapses once you see what Agentic RAG can actually do. Real context, live memory, and intelligent decision making that makes old automations feel ancient. #AIagents #AIautomation #RAG #AgenticRAG #OperatorOS #buildinpublic #n8n

Comment " Open " for link OpenSwarm is an open-source multi-agent orchestration platform that lets you assign complex tasks to a network of AI agents working in parallel. Instead of relying on one model, it breaks work into smaller tasks, distributes them across agents, and continuously adapts in real time to complete workflows faster and more efficiently. Key Features ▪︎ Multi-agent orchestration with a central controller ▪︎ Parallel task execution for faster results ▪︎ Natural language to automated task planning ▪︎ Real-time replanning and dynamic decision making ▪︎ Modular and extensible architecture ▪︎ Works with multiple AI models and tools ▪︎ Optional human-in-the-loop approvals Pricing ▪︎ Free and open-source ▪︎ Additional costs depend on API usage and infrastructure setup