Kurul
64 AI agents. One subscription. Zero hiring.
What it does
Stop juggling multiple AI subscriptions. Kurul gives you 64 specialized AI agents across 15 categories — strategy, code review, legal, growth, community management, and more. Each agent is trained for a specific role. The Co-Founder stress-tests your business model. The Architect designs your system. The Negotiator structures your deals. Multi-LLM support (OpenAI, Claude, Gemini, Ollama). Bring Your Own Key for full privacy. Plans from $19/mo. Free 3-day trial, no credit card.
Does a similar job
all alternatives →- KSKlaw.sh – Kubernetes for AI agentsFeb 2026 · github.com · ▲60
Hi everyone, I run a generative AI infra company, unified API for 600+ models. Our team started deploying AI agents for our marketing and lead gen ops: content, engagement, analytics across multiple X accounts. OpenClaw worked fine for single agents. But at ~14 agents across 6 accounts, the problem shifted from "how do I build agents" to "how do I manage them." Deployment, monitoring, team isolation, figuring out which agent broke what at 3am. Classic orchestration problem. So I built klaw, modeled on Kubernetes: Clusters — isolated environments per org/project Namespaces — team-level…
- AAAI agents run my one-person company on Gemini's free tier – $0/monthMar 2026 · ▲16
I'm a solo dev in Taiwan. I built 4 AI agents that handle content, sales leads, security scanning, and ops for my tech agency — all on Gemini 2.5 Flash free tier (1,500 req/day). I use ~105. Monthly LLM cost: $0. Architecture: 4 agents on OpenClaw (open source), running on WSL2 at home with 25 systemd timers. What they do every day: - Generate 8 social posts across platforms (quality-gated: generate → self-review → rewrite if score < 7/10) - Engage with community posts and auto-reply to comments (context-aware, max 2 rounds) - Research via RSS + HN API + Jina Reader → feed…
OpenClaw BusinessJun 2026 · cloudacropolis.com · ▲12What would you hire 4 people to do? This does it for €129/mo
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, March 2026
the whole month →
Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
