One index, any view
You don’t need five dashboards and three one-off integrations. You need one complete index of your organization — and then every view you want, whether it’s a weekly report, a chart, or an agent’s answer, is just a query against that index. Not another thing to build.
The default is N crawlers
Watch how org context actually gets built today. Your review bot re-crawls GitHub to figure out who should review a PR. Your internal copilot paginates commits to guess who owns a file. Your metrics dashboard rebuilds the review graph from scratch. Each one hits the same rate limit, reconstructs the same relationships, and ends up with its own shallow, slightly-stale copy of the organization.
N tools, N crawlers, N worse versions of the same thing — rebuilt independently and maintained by no one. That reconstruction is undifferentiated heavy lifting, and it’s the work that stands between “we have an AI tool” and “our AI tool actually understands our codebase.”
One index, many shapes
EOS ingests the whole organization once — commits, pull requests, reviews, ownership, dependencies, CI — and keeps it fresh in real time. The same index is then consumed in whatever shape a given tool needs:
- REST — typed endpoints an agent can call directly:
GET /context/ownership,GET /context/graph,GET /context/contributors,POST /context/search. - SQL — arbitrary aggregates over your org for reports and analysis:
POST /context/query(query your org with SQL). - MCP — the same context as native tools inside Claude, Cursor, or your own agent, with no glue code (the MCP server).
- Webhooks — push updates to keep your own systems in sync as the org changes.
Four surfaces, one source of truth. The review bot asks /context/ownership; the Friday report runs a SQL aggregate; the coding assistant calls an MCP tool — and none of them crawls GitHub or rebuilds anything.
Any view you want
Because the index is complete and queryable, the output is yours to shape. A chart in your dashboard, a plain-language weekly summary a cron assembles, an agent that decides who to route a PR to — all of them are just a query against the same index. The visual explorer in the EOS console is exactly this: one consumer of the index, not the product. You can build any other view the same way.
That’s the whole point. EOS isn’t a fixed set of dashboards you adopt — it’s the index those dashboards (and your agents, and your reports) are built on.
Why one shared index wins
- Complete. The whole organization is modeled — ownership, dependencies, expertise, review flow — not a text-chunk sample of a few repos.
- Fresh. Kept current via webhooks, not a nightly crawl that’s stale by morning.
- Fast. A single call returns the answer; nobody re-paginates GitHub per request.
- Compounding. Improve the index once and every consumer gets smarter at the same time — instead of each tool maintaining its own decaying copy.