Om-EIntelligence Dashboard

Docs

The manual, kept short.

Install, the workspace, money and keys — honest articles, kept short. The workspace wiki grows one building block at a time.

Every article is a five-minute read — what it does, how to set it up, nothing padded. Filter the lot, or press ⌘K anywhere.

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Manuals

how to drive it · 7

How it works

what each part is · 14

Deep research

Multi-source research runs: Om-E searches, reads and verifies across sources, then returns a finished, cited report — saved into your knowledge base.

/features/deep-research

Web search

Built-in web search — no third-party key. The agent searches, opens the pages, reads them and returns what matters.

/features/web-search

Citations

Om-E answers cite the topics they came from — the document, the section, the capture date. Hand the answer over and the receipts go with it.

/features/citations

Verification

Score sources against rubrics you define — security checklists, evaluation criteria, policy rules.

/features/verification

Comparison

Two proposals, two policies, two vendors — Om-E lays out where they differ and who wins on which criterion, each claim cited.

/features/comparison

Templates

Templates control the format; your knowledge base supplies the substance. Reports, briefs, memos and SOPs come out finished.

/features/templates

Agentic

Om-E's agent browses, searches, captures and drafts — one instruction runs a whole errand.

/features/agentic

Context engineering

A context dial on every turn: attach knowledge for retrieval, load it in full, or keep the chat clean — you control what the model reads and what you pay for.

/features/context-engineering

Personas

A persona is a standing brief the agent works under — researcher, governance officer, lawyer, coder. The knowledge stays, the eyes change.

/features/personas

Chats

Chats are where sources meet: attach topics for retrieval or load them whole, compare them, build cited and verified answers.

/features/chats

Projects

Group the chats that belong to one piece of work. Each keeps its own context — the project builds a shared vector across all of them.

/features/projects

Knowledge Bases

An organised library of topics, vectored into a private index on your machine — searchable by meaning, nothing uploaded, nothing expiring.

/features/knowledge-bases

Topics

A topic is one reusable piece of AI knowledge — imported documents with their images vectored too, captured pages, transcripts, notes.

/features/topics

Multi-session

Kick off multiple chats that run concurrently, each in its own session space — start a research run in one, keep working in another.

/features/multi-session