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Local First: Search and chat with documents even without an internet connection. Your files never leave your Mac, with 0% telemetry collection.
Bring Your Own AI Models: Utilize lightweight local models through Ollama, giving you full control over performance and privacy. Compatible models include Qwen 3.5, Llama, Mistral, and DeepSeek.
Expertise in Private Knowledge Retrieval: Find insights across various document types including PDFs, Markdown files, technical documentation, and research materials with AI models tailored for real-world workflows.
Deep Document Understanding: Surface key insights, generate summaries, and identify important sections from lengthy reports, proposals, and technical documents instantly.
Developer Knowledge Retrieval: A fast, local workspace built for technical teams to search architecture documents, API keys, code snippets, OCR scans, and structured files.
Privacy Architecture: Sero indexes, embeds, and reasons over your files locally with offline AI processing. No cloud uploads, no telemetry, and no remote file access.
Open Source: Sero is fully open source, allowing for transparency, local execution, workflow customization, and the use of your own models without vendor lock-in.
Compatibility: Optimized for Apple Silicon, Sero works well on MacBook Air, MacBook Pro, Mac Mini, and Studio devices, including base M1 and M2 systems.
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