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FAQ
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Q: What is Zeref OS in one sentence?
A: A persistent, harness-agnostic context and memory engine for AI projects, stored in local-first markdown files with privacy on by default. -
Q: Is this an agent or a standalone program?
A: No – Zeref OS isn’t a running service. It’s a framework that wraps around existing LLM tools (Claude, Cursor, etc.) to give them persistent memory. It relies on those tools to execute the prompts defined by Zeref. -
Q: Is Zeref OS open source?
A: Yes, it’s MIT-licensed (see LICENSE), and free to install. You bring your own LLM models; we don’t provide any in the repo. -
Q: Does it send my data to the cloud or OpenAI?
A: No. By default, all data is local. External tool calls or sharing require explicit user setup (viaSHARING_POLICY.md). Even if you connect an LLM API, Zeref itself does not phone home.
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Q: How long does setup take?
A: About 5 minutes. Running/zeref-os:startconducts an interactive setup, creating 7 configuration files (project name, budget, privacy mode, etc.) and initializingmemory/. The CLI commands (/start,/stop) are the main interface. -
Q: What if I stop the interview midway?
A: Zeref OS will boot in read-only mode until the missing parts are completed (per the spec inMIGRATION.md). You can restart/zeref-os:startto resume. -
Q: Do I need any special tools or subscriptions?
A: No. Zeref OS itself has no paid components. You do need access to an LLM (e.g. an API key or a local model) in your chosen harness.
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Q: What is the default privacy mode?
A:abstract. In this mode, ZerefREDACT.mdrules will scrub PII from outputs, replacing details with high-level descriptions. -
Q: Can I ever store exact secret data?
A: Yes. Settingmode: exactin the rootPRIVACY.mddisables abstraction. Use this if you explicitly want to log an exact password or email. Use with caution. -
Q: How do I ensure nothing ever leaves my project?
A: Setmode: local-onlyinPRIVACY.md. In this mode, all external API calls and syncs are blocked. Any attempt to write tomemory/sync/outbound/or push to a parent will be denied. -
Q: Why are there three files (PRIVACY, REDACT, SHARING_POLICY)?
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PRIVACY.md= global mode and policy (abstract/exact/local-only). -
REDACT.md= specific tokens or classes to sanitize. -
SHARING_POLICY.md= which connectors (e.g. Slack, GitHub) are allowed to see data (defaults to none).
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Getting Started
Architecture
- Architecture · 14 skills · 4 gates
- Memory-Model · flat + PATTERNS schema
- Privacy-Model · 3 modes + R6
- Team-Packs · 6 on-demand
- Pattern-Detection · Two-Strikes
Reference