OpenClaw has been around for a bit now, but recently it feels like there’s an explosion of “Claw-style” agents everywhere (seeing similar efforts from NVIDIA, ByteDance, Alibaba, etc.).
Not talking about specific products — more the pattern: long-running agents, tool use, memory, some level of autonomy, often wrapped as a kind of “agent runtime” rather than just a chatbot.
I haven’t actually tried building or running one yet, so I’m curious about the practical side.
For those who’ve experimented with these systems:
- How steep is the setup? (infra, configs, tool wiring, etc.)
- How stable are they in real workflows?
- Do they actually outperform simpler pipelines (scripts + APIs), or is it still more of a research toy?
- Any specific use cases where they clearly shine (or fail badly)?
Would appreciate honest, hands-on feedback before I spend time going down this rabbit hole.
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