A Guru alternative built as a company brain, not a wiki
Guru is a knowledge wiki with verification. Suda is a company brain your AI agents query directly. Here is the difference and when each one fits.
If you are looking at Guru, the problem is familiar: your company’s answers live in too many places and go stale. Suda solves the same problem from a different starting point. Guru is a verified wiki for people. Suda is a company brain for your team and enterprise that your AI agents query directly. This piece lays out the difference honestly so you can pick the right one.
What Guru is good at
Guru keeps short, verified answer cards close to where people work, with a browser extension and a verification workflow that pings an owner to confirm a card is still true. If the job is “give employees trusted snippets inside Slack and the browser,” it does that well and it is a mature product.
Where the two diverge
The divergence is who maintains the knowledge and who the answer is for.
- Guru is human-curated. Someone writes a card, someone verifies it on a schedule. The model underneath is a wiki: authored cards, owners, review cycles.
- Suda builds a context graph automatically from your tools. It models how facts connect, which one is current, and what supersedes what, then hands an agent exactly the context it needs. Nobody hand-writes or re-verifies cards.
That difference shows up when an AI agent, not a person, is asking:
| Guru (verified wiki) | Suda (company brain) | |
|---|---|---|
| Built primarily for | People reading cards | AI agents querying |
| How knowledge is created | Authored and verified by hand | Assembled automatically from tools |
| Staying current | Scheduled human re-verification | Stale facts retire and conflicts resolve on their own |
| How agents connect | Assistant and API | Native over MCP |
| Context sent to a model | Card text | Only what is needed (~85% less) |
| Scope | Curated knowledge base | Company brain and personal brain |
When to pick which
- Pick Guru if the main goal is a curated set of trusted answer cards for employees, and you have owners willing to write and verify them.
- Pick Suda if you want a company brain that builds itself from your existing tools, stays current without manual verification, and serves AI agents over MCP.
Some teams keep a small curated wiki for policy text and run Suda for everything their agents need. They are not the same job.
Trying Suda
Suda connects to more than 700 sources, including Notion, Slack, and Linear, builds the graph, keeps it current, and serves it to any agent over MCP with permissioned access. Setup is one command:
npx suda connectFor the concept behind it, read what is a company brain. For a search-tool comparison, see the Glean alternative.