🐠 NemoClaw vs ⚙️ IronClaw
NemoClaw (openclaw fork tuned for local gpu inference) versus IronClaw (security-hardened openclaw variant for teams). Same task, different tradeoffs. Here's how to pick.
At a glance
| 🐠 NemoClaw | ⚙️ IronClaw | |
|---|---|---|
| Pricing | Free (GPU hardware cost) | Free (self-hosted); Enterprise tier priced per seat |
| License | MIT | MIT core; commercial enterprise add-ons |
| Hosting | self-hosted | self-hosted |
| Requires GPU | Yes | No |
| Open source | Yes | Yes |
| Providers | Ollama, vLLM, llama.cpp, OpenAI-compatible locals | Anthropic, OpenAI, Azure OpenAI, Ollama |
| Skill count | Inherits OpenClaw ecosystem | Curated allowlisted subset (~200) |
| Primary language | TypeScript | TypeScript |
| Time to first agent | 45 min | 20 min |
| Ease of setup | ●●○○○ | ●●●○○ |
| Power / flexibility | ●●●●○ | ●●●●○ |
| Stability | ●●●○○ | ●●●●● |
| Privacy | ●●●●● | ●●●●● |
| Cost control | ●●●●● | ●●●●○ |
Pick NemoClaw if…
- Best-in-class local GPU support — vLLM, llama.cpp, Ollama first-class
- Zero cloud dependency by default
- Provider switching built in (swap models without rewriting skills)
- You care about privacy, local-inference, zero-cloud, research, long-context-batch (NemoClaw covers these; IronClaw does not).
Wins on: cost
Pick IronClaw if…
- Skill allowlisting enforced by default — no arbitrary code
- Full audit trail of every tool call
- Drop-in compatible with OpenClaw skills
- You care about teams, compliance, security-first, audit-logging, regulated-industries (IronClaw covers these; NemoClaw does not).
Wins on: ease, stability
Where each stumbles
NemoClaw weakness: Requires a capable GPU (24GB+ for most useful models)
IronClaw weakness: Smaller available skill pool (only allowlisted)
Which should you pick?
Short answer: if you're still deciding, run both for a week on a single real workflow you care about. The one you reach for on Friday is the right one. Both have active communities and low switching cost — your skills and SOUL.md rarely need deep rewrites.
Need harder numbers? See the benchmarks hub for side-by-side scores on SWE-bench, GAIA, and community tests.
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