Enterprise Server

Workspace pages

The pages every member of the server's project sees. Each shows exactly what that person's own assistant could use: every read runs under their own session.

Overview

Where the console opens: context requests from assistants — served, withheld, or honestly silent — and how ready each repository is, with what stands between a repository and indexed context and a link to fix it. For server admins it opens with Assistant usage: the last seven days' prompts, tokens used, tokens saved and Knwlge calls, each leading to the Prompts dashboard with that figure charted. With session capture off, the figures that depend on it say so instead of showing zero.

Guardrails

One Markdown document: the rules every assistant working through this server must follow — secrets, data, scope of changes, destructive actions, what to report. Everyone reads it here; server admins write it, starting from an example the page can insert. Assistants read it word for word with guardrails.list. Every version is kept and every edit audited, and the document never leaves the server.

Knowledge

What Knwlge knows and serves, in several views:

TabWhat it holds
RepositoriesEach readable repository's index state, its units by kind and owner, and the newest units. Text copied from the repository is read-only; what Knwlge generated itself an admin can rewrite, which replaces it in briefs once reviewed.
DocumentsThe team's topic documents, filed in six areas — System map, Entities, API routes, Components, Files, Practices — each opening with its overview, with its full history and who changed what.
MemoriesEvery memory you can read: captured from sessions, written by assistants, imported from pull requests and issues, or uploaded. Its owner or a reviewer edits it — every edit a new version — or archives it.
System mapThe HTTP routes each repository serves and calls, and the connections matched between them.
Entities, API routes, Components, Files, PracticesThe knowledge catalog: each entry's location, its description and who wrote it, the facts extracted from the code, related entries, its history, and how often assistants used it.
Knowledge → Entities: the catalog of data models, with who wrote each description and how often assistants used it (illustration).

A description starts as the one extracted from the code and improves as admins, assistants and — when a provider key is set — the server's LLM write it. An admin of the team that owns a repository writes, approves, rejects or resets descriptions; a stale marker shows one written before the code changed.

Context

What assistants actually received, card by card, with the cited source behind each one — and what was withheld, and why. It is the page to open when an answer seemed to come from nowhere.

My memory

  • Memories: what the server learned from your sessions and your writes. Personal memories take effect without review; edit, revert or archive them here, with each one's timeline and provenance.
  • Contributions: what you and your assistants changed in the team's documents, newest first, with a way to revert a change.
  • Session capture: the mode your organization set, and your opt-out. Opting out here stops capture of your sessions on every machine (Session capture and learning).

Insights

Daily adoption from the nightly rollup: briefs served and cards accepted, per team, with sparklines and a per-team drill-down. Server admins also see context delivered and tokens saved, estimated at four characters per token — delivered is the text of the cards briefs served; saved is the rest of each card's source file, which the assistant did not have to read. Costs are estimates from a pricing table, never an invoice.