by princezuda
Safeclaw is the alternative to openclaw.. You can naturally chat with it via text and voice, and you can choose not to use a language model., By default it picks up on intent and semantics.. No prompt injection while you get over ninety percent of what openclaw does plus tts and voice to text
# Add to your Claude Code skills
git clone https://github.com/princezuda/safeclawThe zero-cost alternative to OpenClaw. No LLM required, though it is optional. No required API bills. Minimal attack surface. Runs on any machine.
ONE HUNDRED STARS — We hit ONE HUNDRED stars on GitHub! This milestone is our biggest update since our original release. It brings: Real Research, Simple AI Setup, and Smart Learning. Research now searches arXiv and Semantic Scholar for real academic papers, asks Wolfram Alpha for computational answers.
setup ai sk-ant-your-keyinstantly configures Anthropic (or any provider) — orsetup ai localfor free Ollama. The parser auto-corrects typos, converts word-numbers ("one" → 1), and learns from your mistakes automatically. See the new features below. Previous milestone: Fuzzy Learning & Personalization. Next milestone: TWO HUNDRED AND FIFTY stars that release will 🤯
While OpenClaw users are burning $200/day and $3,600/month on API tokens, SafeClaw delivers 90% of the functionality using traditional programming — rule-based parsing, ML pipelines, and local-first tools. Your API bill: $0. Forever. If you choose to use the language models for blogging, coding and research, then yeah, you'll have a bill, but you can also do all of that without a language model on safeclaw. We simply provide both options.
SafeClaw uses VADER, spaCy, sumy, YOLO, Whisper, Piper, and other battle-tested ML techniques instead of generative AI. The result: deterministic, predictable, private, and completely free to run.
| | SafeClaw | OpenClaw | |---|---|---| | Monthly cost | $0 | $100–$3,600+ | | Requires LLM | No (optional for AI blog/NLU) | Yes | | Prompt injection risk | Minimal (only if LLM NLU/research enabled) | Yes (everywhere) | | Works offline | Yes (core features) | No | | Runs on any machine | Yes (Linux, macOS, Windows) | Needs powerful hardware or cloud APIs | | Deterministic output | Yes | No (LLM responses vary) | | Privacy | Local by default (external only when you ask, e.g. weather) | Data sent to API providers |
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