⚙️ IronClaw vs 🧑💻 Claude Cowork
IronClaw (security-hardened openclaw variant for teams) versus Claude Cowork (anthropic's hosted agentic coding environment). Same task, different tradeoffs. Here's how to pick.
At a glance
| ⚙️ IronClaw | 🧑💻 Claude Cowork | |
|---|---|---|
| Pricing | Free (self-hosted); Enterprise tier priced per seat | $20/mo Pro; $100/mo Max (included with Claude plans) |
| License | MIT core; commercial enterprise add-ons | Proprietary |
| Hosting | self-hosted | cloud-managed |
| Requires GPU | No | No |
| Open source | Yes | No |
| Providers | Anthropic, OpenAI, Azure OpenAI, Ollama | Anthropic (exclusive) |
| Skill count | Curated allowlisted subset (~200) | 1,200+ curated skills + plugin marketplace |
| Primary language | TypeScript | TypeScript (your code, any language) |
| Time to first agent | 20 min | 3 min |
| Ease of setup | ●●●○○ | ●●●●● |
| Power / flexibility | ●●●●○ | ●●●●○ |
| Stability | ●●●●● | ●●●●● |
| Privacy | ●●●●● | ●●●○○ |
| Cost control | ●●●●○ | ●●●○○ |
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; Claude Cowork does not).
Wins on: privacy, cost
Pick Claude Cowork if…
- Zero-setup — install, sign in, go
- Direct access to Claude Opus/Sonnet/Haiku with no API key management
- Tight integration with Git, IDE terminals, and shell
- You care about coding, beginners, zero-setup, git-workflows, refactors (Claude Cowork covers these; IronClaw does not).
Wins on: ease
Where each stumbles
IronClaw weakness: Smaller available skill pool (only allowlisted)
Claude Cowork weakness: Locked to Anthropic models only
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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